Graduating Spring 2023
From the day I learned about math as a kid, I was immediately fascinated with numbers. I would try to double as high as I could in the car and things like that. I carried this passion throughout my time in school, but as soon as I discovered the Data Analytics major at WSU, it sounded like exactly what I wanted to do with my interest in math.
I was taking Dr. Daryl DeFord’s Intro to Data Analytics class, and it was my first experience with coding. I found myself at his office hours a bunch and aside from helping me understand concepts and coding things, I learned that he not only graduated from WSU, but conducted undergraduate research during his time here. I was genuinely interested in what he did and eventually asked him if he would consider mentoring me in undergraduate research and he was excited about that idea.
In terms of what we researched, I didn’t have a preference at first, and that ended up being a great decision because we researched a topic that challenged me in many ways. We researched effects of Malapportionment in Washington State, which is a fancy way of saying we looked at shifts in population between districts that occurs and how those affect the voting cycle and outcomes that are either intentional or not. The reason that this research was so beneficial was that it was a complex issue and therefore required a complex approach. We worked with many types of data, the most notable being geospatial data. I also got experience with new apps and software, learned about advanced mathematical and statistical concepts revolving around Markov Chain Monte Carlo, our main methodology for analysis. I am fortunate to have been able to form a professional relationship with Dr. DeFord. I learned so much from him and was given opportunities to do professional report writing, several presentations at math conferences, and participated in the WSU SURCA poster event.
After graduating this spring, I plan to work in the Data Analytics industry. I would like to do cancer research, more socio-political research, or get a job in an environmental area such as geology.
Michaela Bayerlova, Top Ten Senior, 2022
- College of Arts and Sciences
- Data Analytics
- WSU Pullman
- Czech Republic
2022 Pac-12 women’s tennis scholar-athlete of the year; NCAA Division I Tennis Championships; currently ranked No. 43 in the US, WSU’s only ranked player; currently ranked Number 513 in the world (as of Mach 21, 2022); currently is the third-highest woman playing NCAA Division I tennis in the world rankings; holder of five Pac-12 Player of the Week awards; holder of two Northwest Region ITA Player to Watch awards; two-time All-Pac-12 Conference selection, 2018/2019 (only player in school history to be named to First Team); second-team All-Pac-12 Selection in 2021; captured five professional singles titles while at WSU; Student-Athlete of the Month for academic achievements; WSU All-Academic Team and Pac-12 All-Academic team; volunteer at Circles of Caring, WSU Tennis clinics, Butch’s Bash Holiday Carnival, and Coug Pals
Favorite WSU Experience
For sure, it’s been really cool watching other sports. Football is not a sport back home so even going to WSU’s big stadium was huge. I have special memories of our tennis team winning big over UW on Senior Day this spring. We went crazy afterwards!
I will be competing in the NCAA Division One Tennis Championships this May. Then, I want to play professional tennis for a year or two. My base is back home in Germany, and I plan to travel to tournaments in Europe and all over the world. A big part of that will be looking for sponsors.
Depending how my tennis career goes, I may also consider a career in data analytics. It’s a really broad field, so there might be a lot of opportunities.
Outstanding Seniors 2022
Tyler Marx, Upcoming Graduate, Fall 2021
Time is the most precious thing we can spend. Our choices dictate how that time is spent and invested for our future. For most of my childhood, I had no clue what I wanted to do with my life or career. Being naturally analytic and mathematically-minded I focused my early studies on math and science. I started pursuing a data analytics major here in 2018 after receiving my Associate’s degree. I chose the computation track because of the appeal of the class options and my interest in optimization and high-performance computing. Luckily, I fell in love and haven’t looked back. Due to the track’s focus on math and computer science, I was also able to complete a minor in both while pursuing my Bachelor’s. During the summers I sought out internships to give me real-world experience and to develop my network. My first internship was at Lockheed Martin where I worked with SAR (Synthetic Aperture Radar) technology. I assisted in the development of a radar simulator for pilot training and developed a program to find the optimal registered SAR image based on certain criteria for ground-truth registration. It was my first opportunity to work on a real team and helped me gain confidence and new skills in the business world. My second internship at Prime Solutions Group also focused on SAR technology. However, it was oriented more toward machine learning capabilities with SAR imagery. I had the opportunity to develop military capabilities by applying neural networks to real and curated datasets. I was also able to work closely with another intern in developing a Java+Python full-stack web interface tool for machine learning. Working on real-world machine learning projects opened my eyes more than ever to its endless capabilities. My most recent internship at SEL was a drastic change from radar technology since most of the work is power system focused. I’ve got to work on several exciting and challenging government-related projects involving machine learning, anomaly detection, optical character recognition techniques, and more. After graduating I will be seeking a data science career, the fields I have my eyes on are medicine, government defense, logistics automation, and finance.
Alex Tuck, Outstanding Senior, Spring 2020
I started my collegiate career at the Pullman campus studying computer science. As the year progressed I grew intimidated by the CS coursework and switched my major to math. I realize now that I needed a few semesters to grow before I would be ready to tackle that coursework again, as it is also integral to data analytics. With myself now studying math, I realized I was unsure of where I wanted my career to take me. This is where data analytics enters the picture. Data analytics offered the perfect opportunity for me to study a combination of both mathematics and computer science and to see how the two fields are intertwined in the real world. While on the data analytics computation track I was able to learn about software development, machine learning, and statistics. Now that I’ve graduated I hope to use what I’ve learned to realize my goal of being a software developer.
Haylie Murray, Data Analytics 2019 Graduate
I started school at Everett community college and got my AA in computer science. I then transferred to the newly built WSU Everett campus and decided to do data analytics, which was the first year they offered it. The reason I chose WSU Everett was because it was local and it was the closest school at the time that was offering data analytics. It also had amazing mentors like Nella Ludlow who gave a lot of advice on the industry. I liked the idea of data analytics because I felt it would offer a lot of opportunities to work with machine learning, and it’s always been a dream of mine to do something in AI. The journey wasn’t easy though. For the first couple of classes I was alone, and the only student in the program at the campus. I didn’t have too many people to study with, but this helped me branch out to other students in other disciplines. I believe it helped with my communication skills and taught me how to explain what I am doing at a high level, which becomes useful when working with people in other fields. It was a unique experience and could be challenging at times, but the struggle was worth the payout. My senior year I got an internship with EagleView where they use computer vision and machine learning to pull information out of aerial imagery specifically for roof reporting. This then turned into a full time job as I graduated in 2019.
Jessica Smith, Data Analytics Alumni
I am a recent graduate in Data Analytics with a minor in Business Administration. I currently work for Amazon as a Business Intelligence Engineer where I use SQL, Tableau, and various cloud computing resources to query large datasets and create analytic dashboards for key stakeholders.
My experiences in the Data Analytics program have provided me with the qualifications needed to enter a highly quantitative and analytical field with excellent career growth potential.
The mentorship and support I received from program faculty was critical in giving me the confidence and skills I needed to transition into the workforce and be successful in a professional role.