Yulia Filatova
@yuliafilatova
I build reliable data workflows, automate reporting, and improve operational data quality.
What I'm looking for
At INRIX, I analyzed multi-city datasets, automated SQL and Python ETL workflows, and improved reporting accuracy by approximately 30%.
I build governed KPI reporting and data-quality processes that reduce manual work and make operational decisions more reliable. I designed schemas from JSON and API sources, increasing database completeness in San Francisco by 50%, and built a GenAI sentiment-analysis prototype that earned INRIX's Most Innovative Project 2024 award.
Earlier, I translated business needs into requirements, testing plans, documentation, and delivery processes for transport data and software initiatives at MosTransProekt.
Experience
Work history, roles, and key accomplishments
Analyzed large multi-city datasets using SQL and Python EDA to identify data quality issues and performance trends. Defined and standardized operational KPIs, automated ETL pipelines, and designed relational schemas from semi-structured sources, improving reporting accuracy and data completeness.
Education
Degrees, certifications, and relevant coursework
Yulia hasn't added their education
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Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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