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Victoria is the company administrator and marketing specialist. She has a BS in Biological Sciences and a minor in Women & Gender Studies from Arizona State University. Victoria loves organization and details, and enjoys working behind the scenes to ensure a successful workflow at Boxplot. She lives in Buenos Aires, Argentina where she is furthering her education by learning Spanish as a second language. Victoria is also an artist who creates ceramics, knitwear, and analog photographs. In her free time, she enjoys meditation, yoga, listening to podcasts, and trying new restaurants.
Andreas is a data scientist and has a Master's in Applied Statistics from Villanova University. He also has dual Bachelor's Degrees in Economics and International Relations from Lafayette College. While Andreas works on a variety of statistical projects for Boxplot, he specializes in economic and financial data applications, particularly related to time series, regression, and programming in R. Andreas is a member of the American Statistical Association, and holds their prestigious GStat Accreditation. In his spare time, Andreas enjoys camping.
Kelsey has a Bachelor's Degree in Sociology from the University of Colorado, Boulder and has extensive experience working in data analytics. Kelsey does contract work on data analytics projects for Boxplot, with a primary focus on Excel, SQL, and Tableau. Kelsey has worked for top education tech companies like General Assembly, and currently works for DataCamp. She also worked with data and served as a database administrator * at the South Metro Denver REALTOR® Association. In her free time, Kelsey likes to read, go on long walks, explore the Denver craft brewery scene, and play with her cat, Ronin.
Ali is working towards a degree in Computer Science and Economics and a minor in mathematics at Rutgers University Honors College. His studies are focused specifically on Artificial Intelligence and computational finance. He is a Python wizard, and extremely talented with Pandas TensorFlow and MatPlotLib for machine learning. He is also proficient in other computer programming languages. Ali is multi-liingual and serves as the Director of the Rutgers Quantitative Finance Club. Ali supports projects for Boxplot.
Valerie has a Bachelor’s Degree in Chemical Engineering from Drexel University with several years of experience working with data in energy research. She is skilled in Python and SQL, and also does work in web tool development. Val supports projects for Boxplot. Val is the recipient of numerous awards including the Swiss Government Excellence Scholarship, American Chemical Society Scholastic Achievement Award, Fulbright Research Award to Switzerland, ThinkSwiss Research Scholarship, Tau Beta Pi Scholarship, and the Drexel Valedictorian Scholarship. Valerie enjoys Nordic and Alpine skiing and indulging her coffee addiction.
Justin has a Bachelor's Degree in both Data Science and Economics from the University of Rochester, and is excited by the prospect of making data science accessible and understandable to professionals of all backgrounds. He mainly supports Python-based projects for Boxplot, but is also proficient in R, SQL, and Java. Outside of work, he enjoys spending time with family and friends, and attending sporting events; having grown up in the Boston area, he is a huge fan of all things Boston sports.
Karl is attending the University of Colorado - Boulder for a Master's in Data Science. His undergraduate degree in Mathematics is from Northwestern University. Karl worked as a data analyst for a sports analytics firm in the past, and has completed many freelance data analytics and data science projects. In his free time, Karl likes to play board games.
Khem is a seasoned professional with statistics, machine learning, and software engineering expertise. He has a Master's in Applied Mathematics and is currently a PhD student in Statistics at the University of New Hampshire. With a wealth of experience in startups, Khem has honed skills in developing cutting-edge solutions blending data science and technology. He specializes in statistical analysis and machine learning, deriving actionable insights from complex data.