Data Scientist | 5+ Years Experience | Machine Learning, Predictive Modeling, Data Pipeline Engineer
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Data Scientist | 5+ Years Experience | Machine Learning, Predictive Modeling, Data Pipeline Engineering
Professional Summary
Data Scientist with extensive experience in machine learning, predictive modeling, and process automation across banking, analytics, and research sectors. Specialized in developing data pipelines, implementing speech recognition models, and creating forecasting solutions that drive significant improvements in business metrics.
Experience
- Senior Data Scientist at X LAB (July 2024 - Present)
- Developed fitness metrics calculation pipeline for real-time analytics
- Created event classification models for sports analytics
- Implemented Voronoi-based real-time decision support systems
- Data Scientist at Jusan Bank (May 2021 - June 2024)
- Increased push notification conversion from 8% to 32% through ML modeling
- Deployed ASR models processing 8-10k daily calls for call center evaluation
- Improved voice assistant efficiency from 15% to 55%
- Built customer churn prediction models achieving 86% f1-score for retail
- Developed communication channel optimization reducing expenses by 73%
- Data Scientist at National Analytic Center (January 2020 - April 2021)
- Improved forecast accuracy for food prices by 11%
- Engineered data pipelines integrating 17 regional data sources
- Created COVID-19 spread prediction models with 83% accuracy
Education
- Developed fitness metrics calculation pipeline for real-time analytics
- Created event classification models for sports analytics
- Implemented Voronoi-based real-time decision support systems
- Increased push notification conversion from 8% to 32% through ML modeling
- Deployed ASR models processing 8-10k daily calls for call center evaluation
- Improved voice assistant efficiency from 15% to 55%
- Built customer churn prediction models achieving 86% f1-score for retail
- Developed communication channel optimization reducing expenses by 73%
- Improved forecast accuracy for food prices by 11%
- Engineered data pipelines integrating 17 regional data sources
- Created COVID-19 spread prediction models with 83% accuracy
- Bachelor of Science in Physics - Nazarbayev University (2017-2021)
- Research Assistant in Astrophysics (2020-2021)
Technical Skills
- Programming Languages: Python
- Data Science: PyTorch, Scikit Learn, XGBoost, CatBoost, LightGBM
- Tech Stack: Airflow, Git, Gitlab, PostgreSQL, Docker, Power BI
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