Summary
Oxana Matveyuk is a senior data scientist and software developer in the San Francisco Bay Area with 11 years of experience building production-ready data science products and scalable microservices. She architects end-to-end DS solutions—from data connectors and feature engineering to model selection, testing, CI/CD and user-facing APIs—using a Python-heavy stack (Docker, Flask, pandas, scikit-learn, Keras) and production tools like Jenkins and Harbor. At MedeAnalytics she has led forecasting, anomaly detection and pandemic-analysis utilities, maintained high test coverage and documentation, and mentors teammates on operationalizing models. Her background spans big data engineering, custom Python tooling for institutional clients, and a pragmatic focus on demos and prototyping to align cross-functional teams. A longtime developer who started building accounting and reporting systems in the 1990s, she pairs deep systems experience with modern ML practices to move experiments into reliable, supported production services.
11 years of coding experience
12 years of employment as a software developer
Computer Software Engineering, Computer Software Engineering at Hackbright Academy
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Moscow Aviation Institute (National Research University)
Computer science, Computer science at City College of San Francisco
English, Russian