Karly and Katie, NLP Logix | I like BIG DATA and I cannot lie

Karly and Katie, NLP Logix | I like BIG DATA and I cannot lie

Pete the Job Guy
Pete the Job Guy
Karly and Katie, NLP Logix | I like BIG DATA and I cannot lie

Josh: Good morning Jacksonville, and welcome to the Hard Work-ah with Pete “The Job Guy” Langlois. If you’re looking for a job or looking for any kind of candidates, this is the show you need to hear, so tune in now, now of course, and every Sunday morning at eight, to answer any question you might have about jobs because this is your show. This expert show is your guide to everything jobs. This is the place, what you can hear about new job opportunities and get free extensive career advice from local business leaders themselves.
Josh: The staffing industry’s leading authority, Pete “The Job Guy” Langlois, explorers the failures and successes behind Jacksonville’s top influential individuals, and he does it while discussing hot workplace issues with an honest and, oh so entertaining filter. Take it away, Pete.
Pete Langlois: Good morning all you hard workers. I hope you got up, you shook off the cobwebs, you had your coffee, you put the dogs out and I’m going to congratulate you for making a great decision this morning. You’re joining me, Pete “The Job Guy”, on Hard Work-ah and today we’re going to do what we always do. We talk about all things jobs, and we’re going to give you tips and we’re going to walk through different career options and opportunities that are available for you and as a result of the show, if you do something differently, at the end of listening to this, you’re going to be the better for it. So you already made a good decision.
Pete Langlois: Let me tell you about something called a fleeting mentor. People, what is that? What’s a fleeting mentor? Well, these are passers by in your life that do or say something that change your life for the good. They’re going to tell you something, impart some knowledge and some wisdom and they just kind of came through your life and said something, or did something that sets you on a whole different path.
Pete Langlois: When I was in the navy years back, when I worked on the flight deck of the USS Saratoga and I was out there with a bunch of other enlisted guys, and we’re making sure the aircraft are operationally sound and we’re helping launch them, and then when they land we secure them down with chains, and all this, and I’m working out. Then I’m slugging away working probably 55, 60 hours a week on the ship, and the flight deck chief, he was a Senior Chief, came walking up to me out of nowhere, Senior Chief Chapman walks up to me and he says, “Hey, what are you going to do?” And I said, “What do you mean?” “What’s your plan?” And I said, “I don’t know what you mean.” He goes, “Listen, are you going to make a career out of this in the navy or what’s your plan?” I could tell he was serious and sincere and I said, “Well, I don’t know. I might.” I think I was 19 years old at the time and I said, “Maybe I will, maybe I won’t. I don’t know.”
Pete Langlois: He goes, “Well, if you’re even at all considering here’s what you need to do,” and he told me. He said, “You go to Florida Junior College, you start working on your associate’s level courses and then when you get enough under your belt, on campus, in the navy, right on the naval base is Southern Illinois University campus among the other colleges.” They had a campus right on the base, and he told me what courses to take, and how to get my degree and I could tell he was sincere. He said, “Listen I’m wrapping up my program right now.” He said, I’m getting my degree inside of four years.” He goes, “It’s hard work, Pete. I’m not going to lie to you. It’s hard work, but this is what you do,” and I said, “All right,” and then it was probably a month before the ship got to shore and what did I do? I went and registered at Florida Junior College and I started taking courses.
Pete Langlois: I got enough under my belt, and I walked over to SIU, Southern Illinois University Campus, and I registered with them. I remember about three and a half years later, I was pretty far along in my college and I was into my, let’s see, I was into my junior year and I was doing really well, I got good grades, I really applied myself, and all the time working full time, but I did this and then about three and a half years later, I finished up that enlistment at NAS Cecil Field and that now was transferred over to VP-30 at NAS Jacks and a guy walking down the side of the street when I’m driving, I look over and I knew it was Senior Chief Chapman just from the way he was walking from behind. I saw that was him and I pull up and I went to say, “Hey, Senior Chief, do you need a ride?” But I looked and it’s Lieutenant Chapman. He had gone through, finished the program, went to Officer Candidate School, and now he’s a guy I have to salute and call Mr. Chapman, as an enlisted guy.
Pete Langlois: I said, “Do you need a ride?” He said, “Sure. Hey, how you doing Pete?” I said, “Good.” He gets in the car, and I said, “I got to tell you, you told me what I should do, that course of action, how I can get my degree in an accelerated manner in a way that fit in with the navy guys career, and I did it.” I said, “I’m probably graduating here within the next six months,” and he was so happy and proud. I dropped him off and I never heard from him or saw him again. I tried to reach out with him, and I’m kind of a super sleuth on the internet, I think I can find people, but some people just don’t want to be found for one reason or another and he’s one of them, but I got to tell you, that was a fleeting mentor. Somebody who imparted some wisdom on me with absolutely no expectation of reciprocation, or any gratitude for himself, and I think that’s part of it.
Pete Langlois: If you’re ever going to be a fleeting mentor, just think about what you’re an expert at and think about if you’re going to impart this knowledge upon somebody else. A fleeting mentor is just someone that says, “Hey, you might want to consider this or try this,” but don’t do it expecting something in return, make it a selfless act and you can change the course of somebody’s life. Thank you Senior Chief Chapman, Rick Chapman, if you’re out there and you hear this, call me. I want to thank you personally.
Pete Langlois: Oh, guys we’ve got a really good show for you today, and today we’re going to be talking with some … We’re going to talk all about Big Data, and I think you need to know what it is and you’re going to hear from some of Jacksonville’s top data analysts and folks that deal with data modeling, all the concepts and before we do that, I have to introduce you to the folks to get a good understanding of what the heck it is, because obviously I can’t even explain it. All right, now is a great time to introduce our guests today. We have two great guests that are very smart, and know a whole bunch of stuff, and one of them is Katie Bakewell and she’s the lead statistician with NLP Logix. Katie, how are you today?
Katie Bakewell: Wonderful, how are you?
Pete Langlois: I’m doing just fine, and we also have Dr. Karly Jacobsen, and she’s a senior data analyst with NLP Logix and great to have you on Karly as well.
Karly Jacobsen: Thanks so much for having us Pete.
Pete Langlois: Okay, good. Glad you’re here. Now guys, there’s so much information out there nowadays. It’s different than it was five years ago, 10 years ago. There’s all this information and I know it running a business for many years, that if you pour over this information, all this data that’s out there, and you analyze it, you break it down and you look for certain subsets of information, certain data sets, you can do anything now from helping people solve crimes, to preventing diseases, to giving me as a business owner material that I need to help steer me in a direction to recognize important business trends. Is this what Big Data is all about?
Katie Bakewell: For sure.
Pete Langlois: Yeah. Okay. Tell me a little bit about … Katie and we’ll start with you. What do you do?
Katie Bakewell: I’m a statistician so I do everything from machine learning and statistical modeling, to building visualizations, working with the client and helping them understand their data and what they can do with their data.
Pete Langlois: Okay. So basically after you listen to Katie speak, you understand that English is a second language to her. I didn’t even know what language that was. That’s incredible. As a statistician, I’m sure you went to college, you went to school, you have advanced degrees. Tell me a little bit about your background.
Katie Bakewell: I have an undergrad in math and in statistics, and a master’s in math from UNF [inaudible 00:08:15].
Pete Langlois: [inaudible 00:08:17].
Katie Bakewell: And I’ve been with NLP Logix for five years.
Pete Langlois: Okay, great. Karly, tell me a little bit about what you do.
Karly Jacobsen: I am the senior data analyst NLP Logix, and I work, as Katie was saying, with all of our clients and just teasing apart the data, finding the pieces of it that are going to give them actionable insights into what they do, and my background is in mathematics. So I was at the University of Florida, my bachelor’s is actually [inaudible 00:08:45]. My bachelor’s degree’s in engineering and then I decided I did not want to do that, and so I went back to my first love of mathematics and I got a PhD in mathematics there, and then I did a postdoctoral fellowship at Ohio State University, doing some of the things that you mentioned, using mathematics to actually model infectious diseases.
Pete Langlois: Oh, wow. Can you give me an example of what kind of data, how do you extract the data, how do you break it down into usable information that’s going to help with curing infectious diseases or preventing them?
Karly Jacobsen: What we were doing in my research at Ohio State was building mathematical models that would predict how a disease would spread on a social contact network. So it was actually right after the big Ebola outbreak in West Africa. Ebola is spread through contact with people that are taking care of their loved ones that are sick, or the healthcare workers, and so we built a model that helped them understand, how the structure of the community and the healthcare system would interact to influence the spread of Ebola and therefore how you might apply a vaccination strategy in order to curb the disease.
Pete Langlois: Great. So how do you get the information? I’m sure there’s surveys, there’s studies, you extract it via some form of technology? I know this is basic, but I’m a basic guy. Listen, I’m going to tell you, back when I went to school, we didn’t have computers, number one, and the computer courses that I learned were COBOL and Fortran and tens of zeroes and ones, and you guys probably don’t even know what any of that is, but that’s what I did. I’m a dinosaur. So tell me what kind of technology are you using to examine the data and put together these reports to information?
Karly Jacobsen: Some of the data that we get at NLP Logix is, just comes over in excel spreadsheets, some of it comes in databases, we use SQL server, Oracle, and then once we have the data in our database, we use lots of different tools to analyze it, different languages like Python and R and data visualization tools like one called Tableau, is one that we commonly use.
Pete Langlois: Got it. Can you give me an example, Katie, of some kind of a project that you’ve worked on?
Katie Bakewell: One of the things that we do is work with the city of Jacksonville. We’re working with the Kids Hope Alliance, which is the newly formed group that manages the nonprofits for funding through the city of Jacksonville for kids oriented programs. We work with them to help them understand where they can be funding, where there’s gaps in coverage, and understanding everything about allocation, so not just looking at crime, not just looking at income, but taking a holistic view of the city and identifying those areas that really need the most help.
Pete Langlois: Wow. Both of the examples you’ve given, those are two feel good things. These are worthwhile causes that you’re happy to be a participant about and you’re making a difference. So that’s pretty exciting, and we’ll go back and forth. Why did you get into this business, and let me ask you, even when you were a kid, were you good in math? Did that help steer the ship?
Karly Jacobsen: I was pretty good in math as a kid. It was always my favorite subject. I think for me, I just really enjoyed the problem solving, taking something that’s maybe complex and breaking it down into different pieces and trying to understand it. At NLP Logix I … I was in the academic world for quite a while doing research, but I chose to come to NLP Logix because I wanted to work more closely with clients and see an immediate impact of my work. When you’re at the university setting, you might have a project that takes two years and then gets published in a journal and you don’t know whoever uses it, but at NLP Logix it’s awesome because we have a lot of different clients in different industries that we work with, and we get to see so immediately what the impact of our work is in making their businesses better.
Pete Langlois: Outstanding, and you Katie?
Katie Bakewell: I really enjoyed math as a kid, and then when I went to university I was studying math and physics, and I had to take a statistics class and I told my statistics professor that I was doing math and physics and she said, “Oh, I didn’t realize you wanted to be broke.” So she said, “You’re kind of like … You’re good at this statistics thing.” So I actually switched to math and statistics and I met one of my current colleagues there, Ben Webster, and he was actually the first employee at NLP Logix, and a couple months after he started, they brought me on and I really enjoyed working with the data analysis, so I just kept doing it.
Pete Langlois: We had a couple of callers … This goes back about four weeks or so, that called in that they were going through an NLP Logix bootcamp. Do you participate in that bootcamp?
Karly Jacobsen: Yeah, definitely in Katie and I were two of the mentors-
Pete Langlois: Outstanding.
Karly Jacobsen: So we had three different teams of students, high school students from Duval County that were rising seniors and we gave them basically a five week bootcamp and introduction to data science, had them solve a real problem using an interesting data set and Katie and I mentored the teams and helped teach them the different tools that we use and it was great, yeah.
Pete Langlois: Oh, that’s great, and the two that we spoke with, I remember they were just super sharp and you could hear the enthusiasm. They would jump in right through the phone explaining, “Oh, we were right into it. It’s great, and we’re learning.” It was good to hear it. You must feel good, Katie being a part of that, huh?
Katie Bakewell: It’s really awesome and it’s incredible to see how much the kids actually know about computer science. These are things that I sort of first encountered in college and these are kids that are rising seniors in high school, that you explain something to them one time and they’ve really got it. It’s great to see.
Pete Langlois: That’s fantastic. I know … For many years I’ve run a technology consulting company. I place technology professionals on a temporary temp to hire on a contract basis. So clients will call me and say, “Hey, I need an Hadoop person,” or, “I need someone with this skillset,” and we find it and place it, and a lot of times it’s guys, okay? All right, and now listen, I’m not being sexist or anything, but it’s fantastic to see that this … What inspired you to get into this line of work?
Katie Bakewell: I don’t think there’s anything that ever sort of drove me away from this line of work. I was good at math, I had great teachers and good role models and I never thought that it’s something that I couldn’t do.
Arren: I love that. Sarah Silverman has this quote that she said recently and it goes something like, “Why do we ever tell girls that they can, as if they couldn’t in the first place?” So I really like that. You know you’re just good at it, and you just kept your head up and you kept going, and so it’s one of those things like Women in Tech Shore, I’m sure that is a buzzword now, but even just Big Data is a buzzword, and so can you guys kind of demystify like the difference between Big Data and little data? What’s the difference? Big Data what?
Karly Jacobsen: So I think there’s lots of different buzzwords that are thrown around these days, Big Data, machine learning, artificial intelligence, and I think, Big Data-
PART 1 OF 3 ENDS [00:16:04]
Karly Jacobsen: … artificial intelligence. I think big data, it kind of can have some misconceptions to it, in terms of how much data do you need in order to build a model or to give your clients useful information? And so, big data, you might think about terabytes or petabytes, all this data that you might collect at a Facebook, or a Google, or something, but you don’t need to have even that much data in order to pull the insights from it, if you know how to do it and how to engineer your model in the appropriate way.
Arren: Yeah. Awesome.
Pete Langlois: Right. All right. Now, have any of you … and I know the answer to this … won any awards recently? Come on. Come on. ‘Fess up!
Katie Bakewell: Yep. So, I was just named one of the women in the Jacksonville Business Journal’s Women of Influence for 2018.
Karly Jacobsen: Yeah, Katie. We’re very proud of Katie.
Katie Bakewell: Thank you. Thanks so much.
Pete Langlois: Good job, Katie.
Arren: Here’s your crown.
Pete Langlois: One thing that we’re big proponents on here is we wanna give back to our community. I know you guys do, too, I believe. Is there anything that you’re a member or something that you’re promoting to outside of NLP?
Karly Jacobsen: We host a monthly meetup group called Big Data Jacks, where we bring in members from the community and we have presentations to help sort of increase the awareness of different big data and modeling topics in the city and to provide networking opportunities. We also go to conferences. There was a Women & Minorities in Technology conference recently that we took part of, as well.
Pete Langlois: Outstanding. If someone wants more information about that group, how do they get it?
Katie Bakewell: It’s meetup.com/jacksbigdata.
Pete Langlois: All right, meetup.com/jacksbigdata, and Arren will put that up on the Pete the Job Guy website.
Arren: Okay.
Pete Langlois: I’m gonna ask you both this. I’ve been hitting you up first, Karly, I’m gonna go to Katie first. What would you tell yourself, in around the 19, 20-years-old, what would you tell yourself now that would help you in your career maybe avoid a pitfall or accelerate things, or maybe make life a little bit easier for you?
Katie Bakewell: I actually went to college straight out of high school and I was working as a cook while I was there. I loved cooking and I dropped out of the university of Florida to spend a couple of years cooking. And I’d like to tell 19 or 20-year-old Katie not to do that.
Pete Langlois: Very good.
Katie Bakewell: I ended up back on the same path that I was originally on, so that was a pretty big detour.
Pete Langlois: You know what’s neat? There’s nothing like hindsight, because you can always look back and say, “I shouldn’t have done this, or do more of this or less of this.” But the greatest thing is, by you sharing that story, if someone right now is contemplating going down a different path, maybe do it later, but finish the degree. Go ahead and …
Katie Bakewell: It was a lot more fiscally responsible to do math for work and cooking for fun, instead of the other way.
Pete Langlois: Very good. And Karly, what would you tell your 19, maybe 20-year-old self?
Karly Jacobsen: I would say to follow your passions. When I was an undergraduate, as I said, I was pursuing a degree in engineering, because at the time, I thought, “Well, what can somebody do with mathematics?” I knew that I loved it, but I thought, “I can’t get a real job.” I didn’t think I wanted to teach and that was the only thing I thought was a career path in mathematics. Little did I know that there’s all this amazing fun stuff that you can do. So that set me back a little bit in that I to switch over the mathematics after my undergraduate degree. So just follow your passions. Trust your gut on what you enjoy doing.
Pete Langlois: Very good. And without getting into too much detail, what are you working on right now? What are some of the things that you’re excited about that you’re working on?
Karly Jacobsen: I’m working on one project with a home health medical coding company. A lot of what we do at NLP Logix is automation, and so we are sort of analyzing their workflows that their coders do and helping figure out how we can implement different algorithms and automation and order their processes to make it faster and better for them.
Pete Langlois: Okay, very good.
Katie Bakewell: I am doing a lot of work right now in debt collection, so improving the outcomes for debt collection companies, and then also working with your neighbor, [Healogics 00:20:22], to-
Pete Langlois: A great company.
Katie Bakewell: They’re a great company and they’re so data driven. I’m helping them with wound care and how HBO actually affects that, so it’s really interesting to go through that work.
Pete Langlois: It’s just exciting that what you’re doing, okay, here it is, math and statistics, that relates to anything and everything in business. Isn’t it incredible that … I can’t see a company that wouldn’t benefit from analyzing data in order to streamline, create efficiencies, improve performance, remove redundancies. I think would be a huge part of what you do as well, right?
Katie Bakewell: For sure. It’s surprising how much debt collection and dancing for fitness have in common when you look at them from a data perspective.
Pete Langlois: Holy cow. I love this. I love this. What else? What else do we have?
Arren: I got something. I got a question.
Pete Langlois: Bring it over.
Arren: I’m running in my pants right now. Okay. True or false. Statisticians are meant to be slightly deviant. You’re not gonna get this is you don’t know any stats. This is more for my enjoyment. You guys are really statistically significant, especially in my life. And I just wanted to let you know that a lot of girls and a lot of boys are looking up to you and like what you’re doing, and you guys just stay above the normal. Nobody’s gonna get it, unless you know stats.
Karly Jacobsen: We got it. We love it.
Pete Langlois: All your statistician puns, that everybody is like, “What? What are you talking about here?”
Arren: Play that back one more time.
Pete Langlois: You know what was funny too, I’ll tell you, is we always do like a promo videos and stuff. We did a little promo video that we posted. You’ll see it. It says, “Normal and paranormal …” Did you see that on the grab?
Karly Jacobsen: She showed us. Yeah, it’s great.
Pete Langlois: Well, guys, Katie and Karly, I’m very, very glad that you came out here and talked with us this morning. If people want more information about NLP Logix, how can they get that?
Karly Jacobsen: You can find us on Twitter or LinkedIn. You can go to nlplogix.com.
Katie Bakewell: Yep. Or swing by the Big Data Jacks meetup group and there’s always a bunch of us from NLP Logix there, too.
Arren: And there are gonna be more jokes.
Karly Jacobsen: We’ve got it.
Arren: I was talking to Karly and Katie before this show and I was like, “You guys, I have so many puns. I have so many puns,” and they were like, “Did you actually know that there’s a website for this?” And so I wanted to tell everybody about this, because as soon as I googled it, I couldn’t stop laughing. It’s called Research Wahlberg, like Mark Wahlberg.
Pete Langlois: Research Wahlberg.
Arren: Yeah. And they put pun jokes on top of really serious Mark Wahlberg pictures. It’s beautiful, so beautiful. I love that guy.
Pete Langlois: Well, guys, thank you so much for coming out. I really appreciate you spending your Sunday morning with us. Have a great rest of your Sunday and have a great rest of the week, too.
Karly Jacobsen: Thank you so much. [crosstalk 00:23:33]
Pete Langlois: And now we’re outta time, but we’re gonna take our quick bottom of the hour break and get a news and traffic weather update, and we’ll be right back.
Pete Langlois: Back, all you hard workers. Oh, man. Listen, guys, if you need any staffing assistance, if you’re looking for a job or you want some career advice, you can always reach out to me, Pete, at petethejobguy.com. That’s my email address. And if you wanna ask me an employment question, you want some information about salary, compensation, benefits, all that stuff, you can call me, 904-713-2550, or just email me, pete@petethejobguy.com. If you want staffing assistance and you’re an employer in town, same thing. Whether you need one person on a direct hire basis or you need 100 temps for a defined or undefined period of time, you just reach out to me, pete@petethejobguy.com or 904-713-2550.
Pete Langlois: I’m gonna tell you, one thing I’ve been fortunate about in life is that I’ve done a good job of surrounding myself with people that are better, faster and smarter than me. If there’s one thing I’m good at, is I’ve done that. And I have a team of recruiters behind me, all over the United States. We have a big office in Jacksonville. Each year, we’re named by the Jacksonville Business Journal as one of the largest employment staffing firms in town. But on a national basis, we have, I think it’s around 60 offices nationwide. We have a ton of employees. We’re well equipped to handle your staffing needs.
Pete Langlois: And again, if you just have one need and it’s a short supply, high demand skillset and you’ve posted ads and you’ve struck out, and you just can’t seem to fill the position, call me. I can promise you there are candidates out there. No matter what the skillset is, we can find it. Somebody tells me, “Oh, Pete, I just can’t find the candidates,” listen, there hasn’t been a candidate genocide, okay? There are good quality candidates out there. They’re working. What you have to do as an employer is understand your key differentiators.
Pete Langlois: What’s different about your organization? What’s good about working at your place that could entice somebody from another job to come to your job? And it’s not always the compensation. It’s your work environment, your corporate culture. It could be your benefits or a career track. Even just the proximity to the person’s home. Maybe they have a commute. Do you have Casual Friday? Do you participate in the community? But you have to clearly identify what would attract somebody to come and work at your place and be able to articulate that like it’s an elevator pitch in 20 seconds or less.
Pete Langlois: All right. Man, I loved having Katie and Karly here. What great information. We learned that mathematics isn’t something you have to run from, and even though teaching is a wonderful profession and a great career, there are other things to do with mathematics than teach or to work in an insurance company. I forget, what’s that … Actuarial services, that’s what the math folks do. But now, with data driving businesses, curing diseases, solving crime, data and the analytics allow you go into math boldly and assured that at the end of this math mountain when I have a big math and statistical degree, I can have career opportunities that did not exist five and 10 years ago. They didn’t. And it’s fantastic to hear what Karly and Katie told us. It’s fantastic, and I love the fact that they have groups, networking groups, that are out there to help people that might be considering that line of work and they can help prepare them and get them ready. So, it was exciting to hear.
Pete Langlois: Guys, I gotta tell you, my mom has been a little bit down in the dumps. She hasn’t been feeling so well. I think it’s time that we just dial her up. We have her numbers all punched up here. We’re gonna give my mom a call and let’s see how she’s doing.
Danny: Hello?
Pete Langlois: Hey, Danny, it’s Peter. How you doing?
Danny: Very good, Peter. Your mother handed me the phone. She didn’t know what that number was, I guess. It didn’t show up your name. Because somebody’s been calling her once in a while, some weird advertisement or something, so she wanted me to answer it. How are you doing, Peter?
Pete Langlois: I’m doing just fine. It’s all those crazy sales people trying to call you all the time, that’s it.
Danny: Yeah. I don’t know whether it’s a warranty or something they’re asking [inaudible 00:28:30]. Yeah, we’re doing good. Your mom’s doing good now.
Pete Langlois: Good.
Danny: She went through a little episode with, I don’t know what it was, like [inaudible 00:28:38]. But she’ll tell you about it. But she’s feeling a lot better right now, Pete. We’re listening to your show, sometimes, and when we get your copies, it’s funny as all hell. Really, it’s got something going there, don’t you?
Pete Langlois: Yeah. Yeah. What’s funny is, you’re actually on the show right now. I’m taping you.
Danny: You’re kidding.
Pete Langlois: No, I’m playing you.
Danny: Oh, my God.
Pete Langlois: And I wanted to welcome you to the Hardworker Show, Danny, with Pete the Job Guy.
Danny: I’ll be darned. I’ll be darned. We listen to all your tapes.
Pete Langlois: Good.
Danny: What the heck.
Pete Langlois: Good. I got fans all over the United States now. I got them in Maine, I got in South Carolina, in Jacksonville, Florida. All over the place. But I wanted to welcome you to the show and say, Danny, you’re a hard worker, aren’t you?
Danny: Well, I was. I’m on semi retirement right now.
Pete Langlois: Is Ma there, too? I wanna say hi to her.
Danny: Yeah. She is. She’s right here.
Pete Langlois: Thank you, Danny.
Danny: [crosstalk 00:29:43]. Yeah, bye-bye.
Pete Langlois: Bye.
Speaker 2: Hello?
Pete Langlois: How are you, Ma?
Speaker 2: Okay. All right.
Pete Langlois: You feeling all right?
Speaker 2: Yeah. Nothing can get me down and out. I had to go and call into Boston, because sometimes when you’re on this Rituxan therapy, different things happen. And I don’t know whether it was my kidneys or what was going on, but he put me on penicillin-
Pete Langlois: Oh, Ma.
Speaker 2: … for seven days, but now I’m okay. I’m okay now.
Pete Langlois: You’re okay?
Speaker 2: Yeah.
Pete Langlois: Well, you know I love you, right?
Speaker 2: I do know you love me with all your heart.
Pete Langlois: Are you proud of me, Ma? Are you proud of me?
Speaker 2: Yes, I am very proud of you. Very proud of you.
Pete Langlois: Am I a hard worker, Ma?
Speaker 2: Very hard. Extremely hard.
Pete Langlois: That’s right, Ma. Yeah, that’s doggone right. Well, you’re on the radio, so just telling you. I hope you’re having a good Sunday morning. And I love you and I’m glad to hear that you’re doing better.
Speaker 2: Oh, thanks so much. Thank you very much, dear. Yes.
Pete Langlois: Bye, Mom.
Speaker 2: Bye.
Pete Langlois: I love you.
Speaker 2: Bye-bye. I love you too. Bye-bye.
Pete Langlois: Oh, it’s so good to hear that my mother’s doing better. You know, you hear my accent kind of change and you hear me say, “Hi, Danny, it’s Peter.” When I moved to Florida, many years ago, my name was Peter, and it was funny because I always it pronounced it pitta, like the bread, not Peter. Hi, Peter. How are you, Peter?
Arren: Hard R.
Pete Langlois: My name’s not Peter. My name’s Peter, like the bread. So that’s how Pete came about, is I didn’t wanna be called Peter, because it’s my name. You know what I’m saying, Arren? If someone called you Arene or-
Arren: Oh, I’ve had plenty of people call me Aaron, because it’s A-R-R-E-N, or they say Aran. Like, “Okay, yeah.” I still respond, because I understand. Or if they try to spell my name correctly, I just completely ignore it. I’m like, “Yeah, that sounds right.” And they’re like, “What?”
Pete Langlois: For me, when it’s your name, you want your name pronounced right. That’s how I see it. You know what, just call me Pete. And then, when I talk to my family, the Boston really comes out. I mean, I can’t help it. You hear it and it’s a lot stronger. But it’s good to hear that my mom is doing a lot better, and I know Danny’s taking of her and it makes me-
PART 2 OF 3 ENDS [00:32:04]
Pete Langlois: My mom is doing a lot better and I know Danny is taking care of her and it makes me fill good to know that she’s doing better and improving and I’m glad we gave her a call and heard her. And you hear that she’s proud of me. That’s genuine right there-
Speaker 3: I think that was a setup. You old her that.
Pete Langlois: No. That’s a mom that loves her boy.
Pete Langlois: Alright I think you know what, now is a great time to go to the world famous Arren Mills and Jack’s facts.
Arren: This is Jack’s facts. Did you know that Jacksonville is the birth place of the father of the personal computer. That’s right, Don Estridge. Don Estridge was born in Jacksonville, Florida. His father was a professional photographer, he graduated from Bishop Kenny High School in 1955 and from the university of Florida in 1959. Don led development on the original IBM personal computer, PC and thus is known as the father of the IBM PC which is super fitting in Jacksonville cause right now one of the hot job industries is Information Technology.
Arren: And that’s it for your Jack’s facts this week.
Pete Langlois: Very good Arren, thank you for that fun fact. Alright, going deep into the mailbag. And in the mail bag, I don’t actually have a mailbag, what we have is email and if you have a question, anything to do that’s work related you can always just hit me up at Pete@Petethejobguy.com.
Pete Langlois: This one comes to us and I’m not gonna tell any names or anything. But this says, “my boss friend requested me on Facebook, what do I do?”. Okay. That happens. You know, Arren and I gonna talk about this a little bit because I wanna get her perspective. Arren, your boss friend requests you. What do you do?
Arren: Yeah. Well, I mean, the general rule is when your in the professional world is not to post anything risky or anything that you wouldn’t want your boss to see. So I say it would be okay-
Pete Langlois: Is that the type of stuff you post?
Arren: No. I’m a mother of one Pete.
Pete Langlois: Okay.
Arren: So I would say, I would accept them but if somebody else from the office requested to you, I would say if you gonna accept for one person you have to accept from all. So, just standardize it, if your not gonna accept from anybody, you know, explain to them in person maybe why you’re accepting their friend request or-
Pete Langlois: You know, I can weigh in here and I think, you’re on to something here because what you do for one as a leader you have to do for all because you can’t discriminate of [crosstalk 00:34:37] I’m gonna friend request this one I’m not. You have to be very very careful. I go back and I taught a class for .net code camp years back. The course was ‘you’re developer, now what?’. Meaning okay, you’re .net developer but do you wanna get into management, do you wanna do something differently, do you wanna become an architect? What are the things you wanna do as a .net developer?.
Pete Langlois: And I told the story, when I get up in front of the group, I had written behind me not on me, on a white board behind me, I wrote, B.O.F.B. and I get up and I talk about all the different career paths you can take if you’re just starting out as a developer or coder. And B.O.F.B was written on the board and as I went down all these answered questions, did a wonderful presentation, good group, very interested and it was pretty packed. And at the end I said “anybody who wanna know what B.O.F.B stands for?” And they’re up there looking around “yeah yeah we wanna know.”
Pete Langlois: Alright, I told them a story about I had a .net developer that I was making a placement with, really sharp guy, young person, he’s up and coming, he was very very technically savvy and he had a really nice portfolio of stuff that he showed that he could do great in the interview process. Everything was fine but he did not control his social media and the manager made an offer and called me back and then rescinded it and said, “We’re not gonna hire this person”. I said “What are you talking about? He quit his other job he’s really excited”. They said, “No, B.O.F.B, we googled him up and he had a bong on Facebook”. And that cost him his job. He was not aware of his social media.
Pete Langlois: For that purpose, now listen, not everybody is gonna be that lose or that foolish but for that reason, people judge you and they make decisions based on what you’re posting and even though some folks are a little bit more conservative, others might be a little looser, showing parties and beer. What could be harmless fun, other people may make judgements about you. I don’t like as boss having folks Facebook me and as a rule I don’t have anybody that works with me on Facebook with me just because I don’t want anybody to have that kind of window into my life personally, number one. Number two, I don’t want them thinking I’m looking at their photo’s and looking into their lives, but for the reason you just said, I’m not gonna let everybody so I can’t discriminate and do for one and two what I’m not gonna do for all.
Pete Langlois: So I think that was very well said. Arren-
Arren: Yeah.
Pete Langlois: Last week we talked about you’re trying to shrink down you’re wardrobe to 25 pieces of clothing. Give us a little bit of an update at where you’re at and maybe just kind of a refresher on why you’re doing this and what this is all about.
Arren: Yeah. So, I recently converted to just 25 pieces of clothing and I got a lot of questions even from Pete because I’m challenging Pete to do it with me. He’s like “what about my athletic clothes?” And I could just envision Pete putting back on his sweaty shirt-
Pete Langlois: Ooh no. That’s not gonna happen. For some people you could get down to 25, I don’t have a lot of clothes, I have a few pairs of Khakis that I wear, a couple of pullover shirts and some dress clothes. But other than my gym clothes, cause I like to run a lot, trying to keep in shape, I have to have a certain amount of t-shirts and shorts and if I’m trying to skinny this down to 25, that could get a little bit complicated.
Arren: Yeah, when I was coming up with the wardrobe I asked a whole bunch of people in the [inaudible 00:38:30] wardrobe or the minimalistic community and they said usually they don’t count things like undergarments, ting tops or underwear. Can I say underwear on the radio?
Pete Langlois: Yes. You can say [crosstalk 00:38:50] underwear, underwear, underwear. Underwear woo hoo. Alright go ahead, underwear go ahead.
Arren: So and also athletic clothing so a lot of people don’t count their athletic clothing. So then I thought you know that makes sense, I’ll go ahead and not count it but I’m not gonna have like more than 25 pieces of athletic clothing, I’m gonna keep it till I go weeks worth of that stuff. So, I have 25 pieces of work and clothes that I’m wearing outside of the house and then the rest I’m not really counting. So, we’re in Florida, you know, bathing suits, flip flops, I feel shouldn’t be counted towards that.
Pete Langlois: Alright, lets do this. Let’s get into the why. Other than the fact that you wanna punish yourself, why would you do this?
Arren: It’s not a punishment. No it’s not. So there’s so many reasons and I actually just posted a blog post. I had 16 reasons for you guys. So, if you’re bored and you wanna read that go ahead and do it. But, one of the main reasons is, so I used to fight a lot of anti-human trafficking in the Philippines and that was with another group, a non-profit group and one of the things that we focused on was forced labor. It’s part of human trafficking and a lot of the clothes that we consume are made in sweat shops abroad or they are not ethically made in the sense that you know, you’re consuming resources that we just don’t take care of.
Pete Langlois: From a consumption stand point, this is why. Okay. You’re a consumer and you wanna align yourself or you don’t wanna go ahead and take too much or get too, or look at wait wait, look at who just joined us, it’s the world famous, the original hard worker Alex [Daggett 00:40:28].
Alex: What’s going on, what’s going on.
Pete Langlois: Glad to have you Alex. Glad you made it. You know, was traffic bad this morning on a Sunday?
Alex: Of course it was, you know, it’s all backed up I had to make early church.
Pete Langlois: Well you know what we’re talking about right now is you remember last week Arren was telling us that she’s trying really hard to do this 25 pieces of clothing for her wardrobe.
Alex: I do remember, in fact I went home and talked all about that, I got no reception on that one.
Pete Langlois: Well, I can promise you and she skinned it down but she didn’t break it down to 25-
Arren: Yeah. I feel like it’s open, you know, you can always convert it to however many clothing pieces you think is realistically gonna work for your lifestyle. I picked 25, its arbitrary number but it’s because I turned 25.
Pete Langlois: Alright.
Arren: I think the formulaic number is 37-
Pete Langlois: Formulaic. Any comments on formulaic? Are we gonna accept that as a word [crosstalk 00:41:21]-
Arren: Wait, bring Karly and Katie back, I’m pretty sure it’s a word-
Pete Langlois: Karly and Katie, they left already but I’ll tell you what, call us up and let us know it’s formulative, what is it?
Arren: Formulaic.
Alex: I’m gonna go with the scrabble says no.
Arren: You know what?
Pete Langlois: You can’t make up words like that on the fly-
Alex: Yeah. Not on radio because we got that recorded-
Arren: The magic number-
Alex: Formulaic.
Arren: I like the way that sounds. Wait, I’m gonna google it, go ahead.
Alex: Yeah. You go ahead and google it.
Pete Langlois: Alex. I don’t know if you were listening when we had Katie and Karly on. But one of the big take aways from me is that, mathematics, now, let’s say you’re good in math right, and you wanna pursue, you know, you wanna go get a math degree and on. Really, the only two career paths that you had back in the day, and I’m going back a little bit, there other things that you can apply it to because everything is mathematics, right. You can apply it to everything but from a career stand point, it was actuarial sciences, right, you get in to the insurance or you’re a teacher, really. But now-
Alex: Or astronauts base. NASA was a big hiring and one of the biggest reason why mathematics and the STEMS became such a big push in our country. Right. Because we needed to figure out how to get to the moon and go in and during the Kennedy administration that was a huge big push and everybody was working hard on mathematics and coming up with trying to figure out math that didn’t exist yet to send people into space. So, that was a big push.
Pete Langlois: It’s exciting but you know, we’re drawing the conclusion that before, math had several different lines and we just added the NASA career path to it. But there wasn’t a ton, like, you know, if you get into back then either data processing but if you get into IT there’s so many different jobs in IT and there’s so many different jobs but mathematic seemed to be a little bit career limiting your choices. But now with big data and hearing how excited, you know, these are two math wizes that come in here with pure joy and excitement and are saying this is great. So, it’s nice to hear and if I’m someone who is good in math I’m on seventh and eighth grade or maybe I’m a senior, I’m taking math as a minor in college just knowing that there are big careers in analytics and statisticians and working with big data to do [inaudible 00:43:55] diseases or crime, you know, help improve performance-
Arren: Marketing.
Pete Langlois: Marketing, sales and when you hear their clients and the exciting projects they’re working on transcends all business all industry. It’s pretty exciting.
Alex: Yeah. And that’s, I wish Preston was here because that’s where he’s headed to. He’s into data analytics and study being an actuarian and things along those lines. Obviously, he started out looking in the accounting field and he’ll still do that as well but I think he’s now leaning towards getting his minor in that so he could really talk about that.
Pete Langlois: You know, even in accounting and finance, you know, this little thing called business intelligence now that again is extracting all these data, right, and it’s putting together usable reports that helps steer the ship from an accounting stand point or from a business operations stand point. It’s the data, everything is so data driven and it’s not so much “let me take a dart and go to the dart board” or try to read some tea leaves what I should invest in business.
Pete Langlois: It’s the analytics and the algorithms, you know, what I loved hearing about is eliminating redundancy in business. You know, you might have four different people saying and doing the same things over and over and over and the analytics prove that we can create efficiencies by eliminating the redundancy.
Alex: You know, it’s like the sales book we read though, you know, it all starts with human interaction, right. If we didn’t figure it out as people first, then no matter how great a computer programmer you are doesn’t matter because it’s the old garbage in garbage out, right. So, you can create the best model in the whole world but that model has to be based upon something in real life. And if the real life doesn’t work, then putting on a fancy computer ain’t gonna make it work either.
Pete Langlois: So, one day I’m not gonna be replaced by robot husband, robot dad and robot worker?
Alex: Maybe you will but it doesn’t mean [crosstalk 00:45:57]-
Pete Langlois: I’m redundant anyway. That’s my nature that’s how I am. But, you’re right, the human element we say a lot with staffing and recruiting. You know, I’m gonna tell you what, it’s kinda like real estate, right. Same thing as real estate, there’s MLS and people list the houses and you can look all through it and they use the little box-
Alex: 3D cameras-
Pete Langlois: Cameras that go all through, show everything but guess what? It’s the interaction with the agent. We had camp sessions on here that was fantastic, it’s the agents that helps close the deals in [crosstalk 00:46:31]-
Alex: Well have you see idiocrasy?
Pete Langlois: No.
Alex: Well have you see idiocrasy? It’s a great movie, it’s really funny and entertaining but it shows you what happens when you become too reliant on computers and something else doing the work. Because, what happens is the whole country becomes computerized and the machines are doing all the work and everything but then all of a sudden the people forget how to and later own they go and now they can’t fix the machines. So, as soon as they break, nobody knows how it all got started so it becomes a disaster from there on out.
Alex: So they have all these machines going around that can’t do the working, they can’t do it either because they forgot how.
Pete Langlois: Interesting, alright guys, listen, we are right at that time where we gotta wrap up. I wanna thank my guest Karly and Katie, with NLP logics, they were fantastic today talking about mathematics and Statistics, it’s a great career path for all of you people. Stay in school and stay right on that path.
Pete Langlois: I hope all you hard workers have a fantastic Sunday and a big week.

Get connected:

Big Data Jax Meet-Up

Karly on LinkedIn

Katie on LinkedIn

In this Episode:

Karly Jacobsen

Dr. Jacobsen is a Senior Data Analyst at NLP Logix, where she uses her expertise in mathematical modeling and analysis to take complex solutions and present them in an actionable and consumable manner.  She joined NLP Logix in 2017 after she moved back home to North Florida from Pittsburgh, where she was working as a commodity price modeler.  Prior to her work in Pittsburgh, Karly was a postdoctoral fellow at the Mathematical Biosciences Institute at The Ohio State University.  Karly holds a bachelor’s degree in materials science & engineering and a doctorate in mathematics from the University of Florida.

Katie Bakewell

Katie Bakewell is a lead statistician at NLP Logix.  She has delivered advanced statistical and machine learning modeling product and services to customers ranging from a large energy trading firm to program and service effectiveness analysis for the City of Jacksonville. She was also the Lead Statistician for a major study commissioned by the University of Florida/Florida Poison Information Center Network which included an evaluation of co-managed care cases by a poison center specialist, efficacy of social media in tracking poison cases across Florida and a detailed inpatient length of stay analysis. The results of the study were presented to the Florida Legislature as well as the annual meeting of the American Association of Poison Control Centers. She has a bachelor’s degree in Mathematics and Statistics and a master’s degree in Mathematical Science from the University of North Florida. Katie recently presented at the American Statistical Conference on her work in “Forecasting Model for Futures Prices Based on a Time Series Analysis.”



Leave a Reply