Summary
Valeriia Karavaeva is an experienced data scientist with 11 years in analytics and machine learning, currently applying her expertise at Revolut after roles at Spiking and Propeller Ads. She specializes in financial and advertising domains, having built pipelines for anomaly and spike prediction in crypto and stock prices, developed sentiment-analysis systems for news, and created bot-traffic detection and cold-start methods for ad campaigns. Comfortable across Python, TensorFlow/Keras, SQL and production tooling like Airflow and Prometheus, she bridges research-grade models and operational deployment. Her background in mathematics, algorithmic bioinformatics and data mining informs a rigorous, experimental approach to noisy, real-world data problems. A less obvious strength is her track record of shipping online learning models and clustering algorithms for crypto address analysis, showing both domain depth and systems-level thinking.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mathematics and Computer Science, 4.4, Bachelor's degree, Mathematics and Computer Science, 4.4 at Saint Petersburg State University
Data Mining, Data Mining at Computer Science Center
Algorithmic Bioinformatics, Algorithmic Bioinformatics at Bioinformatics Institute
Русский, English