Mariia Baranova

I am an ML-oriented Data Analyst with almost 5 years of experience in fintech and telecom, moving toward Data Scientist / Applied ML roles. I have a strong mathematical background: I graduated from the Faculty of Mechanics and Mathematics at Lomonosov Moscow State University, specializing in probability theory. My main experience is at the intersection of machine learning, pricing, personalization, experimentation, and big data. In my current role, I work on Next Best Tariff and dynamic pricing projects, including a LightGBM-based response model, feature engineering, model validation, PySpark ETL pipelines, and daily production workflows in Apache Airflow. One of my key achievements was optimizing a response model: I reduced the number of features from 265 to 79 without quality loss and shortened retraining time from several weeks to a few days. I also design and analyze A/B tests, estimate financial impact, and present results to business stakeholders. One experiment showed a 45% revenue uplift. I am looking for a remote Data Scientist, Applied ML, Product Data Scientist, or ML-oriented analytics role focused on pricing, personalization, experimentation, customer analytics, or revenue optimization.