Summary
Aleksandra Vasileva is a Product Analyst with 11 years of experience applying quantitative methods and data tooling to product and research problems across fintech, e-commerce, and academia. She blends hands-on data work (Python, SQL, Power BI, Stata, QGIS) with causal inference and geospatial analysis developed in political-economy research at New Economic School. Aleksandra has shipped analytics pipelines and automated reporting at Ozon and contributed anti-fraud product analysis at Tinkoff, and now applies that mix of product instincts and rigorous identification strategies at Banco Plata in Mexico City. Comfortable moving between stakeholder-facing metrics and granular historical data collection, she often bridges BI, data engineering, and research teams to turn complex datasets into testable product insights. Her background includes international exchanges and selective economics training from HSE and NES, giving her a global perspective on data-driven product decisions. An understated strength is her ability to translate academic causal methods into practical product experiments and monitoring.
11 years of coding experience
1 year of employment as a software developer
Winner of the Year of Exchange in America for Russians (YEAR) program fully-funded exchange year in the USA, Winner of the Year of Exchange in America for Russians (YEAR) program fully-funded exchange year in the USA at SUNY Broome Community College
Master of Arts in Economics (MAE), Master of Arts in Economics (MAE) at NES
Bachelor of Science - BS, Bachelor of Science - BS at Высшая Школа Экономики
Exchange student for 2020 Fall semester, Exchange student for 2020 Fall semester at Missouri State University
Moscow State University High School (Университетская гимназия МГУ) Class with in-depth study of economics, Moscow State University High School (Университетская гимназия МГУ) Class with in-depth study of economics at Московский Государственный Университет им. М.В. Ломоносова (МГУ)