Maria Vasilenko Email & Phone Number

United States

- Designed an A/B experiment that tested the performance of an offline Duties& Taxes calculator tool which reduced p95 duties& taxes calculation time by 30% and boosted cross-border checkouts conversion rates. Performed Bayesian analysis (Python, SQL) of the experiment results quantifying the effects of the changes and communicating to the key stakeholders the importance of investing in infrastructure performance improvements.- Collaborated closely with the Engineering & Design team from project inception on expanding international shipping options to merchants. Provided valuable data insights and played a key role in defining and tracking product success metrics.- Resolved a 25% discrepancy in the key financial metric (GMV) between different data dashboards. Improved data pipelines to eliminate data inconsistencies, enabling the Finance team to make accurate financial forecasts.

Mountain View, California, United States

- Designed, monitored, and analyzed results of 15+ A/B tests to guide decision-making for Homeschool and Teacher's products, checkout experience, and Growth Marketing campaigns. Collaborated with Product Managers and Designers to provide data-driven recommendations for feature changes and made suggestions for UX research.- Advised Product Owners on the choice of Homeschool and Teachers product success metrics and made recommendations to the product roadmaps. - Built and optimized ETL pipelines (reducing the time needed to run by up to 25%) using BiqQuery, MySQL, Java, and Pentaho- Built a predictive model (Logistic Regression, Random Forest) to inform marketing efforts aimed at increasing user engagement.

Mountain View, California, United States

- Developing and deploying (Heroku) the data pipeline to obtain and parse companies reviews from public sources in a programmatic way using Python - Identifying the sentiment of reviews and key topics by developing the NLP model

- Led mentorship sessions explaining complex ML concepts and data cases- Consulted a startup team on data scraping, labeling and text processing using Python (gensim, PyTorch)

Foster City, California, United States

Semi-automated the process of running a production pipeline by writing a scheduling script in Python and HQL, reducing the time needed to run the process by 2 hours (~20%). Explored opportunities for further automation using tools like Oozie and Apache Airflow

Remote

- Provided recommendations to the Marketing team on developing a PHR app by identifying the most desirable features of competitors based on reviews from the Apple App Store and Google Play and performing Topic Modeling (LDA) using Python- Worked on the project aimed at improving customer experience and product awareness. Together with Analytics Team built models to predict whether a member is likely to get pregnant: created data set, performed feature engineering and built machine learning models class in Python

San Francisco Bay Area

- Worked on product development at GoCarrot, an early stage startup building a mobile wellness app that helps people achieve wellness goals and lower medical bills. - Was actively involved in the UX design process: interviewed users, created wireframes and designed product features. - Conducted market research and prepared a white paper on the impact of digital wellness solutions on reducing medical risks.

- Provided investment recommendations by doing quantitative financial analysis and valuation of 18 banking stocks across 8 Eastern European countries using Excel and VBA- Developed a tool (VBA, Excel) for evaluating the impact of FinTech technologies on investment cases of banking stocks- Initiated analytical coverage of Polish and Georgian banks building financial models from scratch- Led the research project on mobile banking and FinTech in Russia and Poland evaluating the impact of technologies on investment cases of banking stocks

London, United Kingdom

I archived and digitized Soviet-era social and economic statistical publications, developed a clean-up process and cataloged the result into a database. The data spanned 40 Soviet regions over 50+ years and was sourced from rare public repositories.

- Participated in a consulting project for a transportation company where I analyzed financial statements and built financial models, prepared market research and presentations.- Conducted research on telecom industry regulation for a client.

Master Of Science - Ms, Data Science

Master Of Arts - Ma, Economics

Coursework in applied micro-econometrics, econometrics, international economics, and applied industrial organization. Wrote a thesis.

Specialist, Mathematical Methods In Economics

Department of Economics, Mathematical Methods in Economics Graduated Summa Cum Laude.