Hover over or click on a team member's image for a brief bio. Scroll down for full bios. Please email info@boxplotanalytics.com to request a team member's resume.
Barbara is a data scientist with dual Bachelor's Degrees in Applied Statistics and Economics, a demonstrated history of working in the industry. She previously held a position as a Business Analyst at an insurance company where she primarily served the needs of the organization’s marketing department. She also worked for a statistician analyzing a variety of corporate, government, and nonprofit datasets. Barbara is currently the President of Boxplot and her favorite projects involve crafting dynamic dashboards and reports that clients can use to make data-driven decisions. She is a member of the American Statistical Associationo, and also teaches for General Assembly. Barbara is an expert in Excel, Tableau, PowerBI, Qlik, Python, R, JavaScript, and SQL. In her free time she enjoys anything outdoors, but particularly gardening and permaculture.
Nicholas ‘Nic’ Feliccia is a Data Scientist who brings Managerial Experience and Business Acumen to solving problems. After receiving his Electrical Engineering Degree from Syracuse, Nic spent 20 years working in the Wireless Network Engineering field. His experience includes tenure with industry leaders such as AT&T & Ericsson, and leading teams in startup environments. After connecting the world, Nic turned his focus to the dynamic and growing possibilities in the universe of Data. Nic is an ardent Pythonista, fluent in the advanced concepts and capabilities of the language. In 2018 he obtained Georgia Tech’s Computing in Python Professional Certificate. And an IBM Data Science Professional Certificate obtained through Coursera. Nics credentials also include a Tableau Desktop Associate Certification. Nic is a lover of languages, is fluent in Spanish and is currently working on Portuguese.
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.
Michael is a data scientist with an MS in Analytics from Georgia Tech. Starting his career as a teacher, Michael has done data analysis for governments, nonprofits, and education organizations, focusing on growing teams' capacity and working together to solve problems. Michael loves data visualization and is an expert in all things Tableau. On the statistics and analytics side, Michael is comfortable in R, Python, and SQL. Michael loves getting people the tools they need to do their job well and uses his education experience to help figure out if the right questions are being asked. Outside of being a lifelong learner, Michael also enjoys traveling, hiking and camping, and baking.
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.