Summary
Valeriia Tazhdavletova is an Analytics Engineer with nine years of experience building reliable data platforms and shaping data quality practices across fintech and mobility sectors. She has a strong track record of turning messy, scattered sources into single sources of truth, improving test coverage and dashboard adoption while surfacing millions in previously hidden financial inconsistencies. Valeriia combines hands-on SQL and data mart design with data stewardship—having implemented automated reconciliation, alerting, and QA processes that cut fraud and reporting risk. Trained at St. Petersburg Polytechnic and the Technical University of Munich with additional deep learning study at Ghent, she blends statistical research, platform architecture and pragmatic engineering to make data trustworthy and actionable. Now based in Berlin, she thrives on tackling complex problems where rigorous data practices materially improve product and business decisions.
9 years of coding experience
2 years of employment as a software developer
Exchange Master Student Informatics, Exchange Master Student Informatics at Technical University of Munich
Deep Learning, Deep Learning at Ghent University
B.Sc. Computer Software Engineering, B.Sc. Computer Software Engineering at Peter the Great St.Petersburg Polytechnic University
English