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@danylouser1

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Data Scientist at DATA.BET building live sports and esports ML products; improved personalised ranking MAP@10 by 5%.

Poland

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At DATA.BET, I designed and implemented a personalised content ranking model for live sports and esports products, improving MAP@10 by 5% over the existing baseline in offline evaluation.

I also develop and maintain predictive model ensembles for real-time odds calibration on live event streams. My work spans the model lifecycle, from feature engineering and training to API integration, production diagnostics, monitoring, and A/B result interpretation.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

DATA.BET

Feb 2024 - Present (2 years 8 months)

Designed and implemented a personalised content ranking model using learning-to-rank, improving MAP@10 by 5% over the existing baseline. Developed and maintained an ensemble of predictive models for real-time odds calibration across sports and esports markets.

Education

Degrees, certifications, and relevant coursework

Taras Shevchenko National University of Kyiv

Bachelor of Science, Computer Science

2021 - 2025

BSc in Computer Science. Thesis benchmarked one- and two-stage object detectors for drone detection, selecting a model on accuracy/latency trade-off and serving it behind a Flask inference API.