Summary
Vadim Katsemba is a Data Scientist with a decade of hands-on experience turning complex datasets into actionable business insights across logistics, retail, and enterprise clients. Skilled in R, Python, SQL and visualization tools like R Shiny and Plotly, he builds forecasting and classification models—recently developing neural time-series models to predict hourly airport tray volume for staffing optimization. His background includes productionized NLP and information-extraction systems that boosted invoice processing accuracy to near-perfect levels and sales-prediction models that explained 88% of variance. A Boston University MS in Applied Data Analytics complements a BS in Mathematics and Statistics, grounding his work in rigorous methods. He has a track record of automating analytics-driven alerts and interactive apps that shift team behavior, not just reports. Colleagues describe him as a pragmatic problem-solver who bridges technical modeling and clear stakeholder communication to deliver measurable operational impact.
10 years of coding experience
8 years of employment as a software developer
UMass Lowell
Master of Science - MS Applied Data Analytics, Master of Science - MS Applied Data Analytics at Boston University
Russian, English, Spanish