About Serhan
Senior Data Scientist with 8+ years building production-grade
forecasting and experimentation systems for retail, telecom, and
financial services. I help teams turn messy operational data into
decisions that move revenue.
What I do best:
- Demand & sales forecasting (classical, ML, hierarchical)
- Customer analytics — segmentation, churn, LTV
- A/B testing design & analysis (CUPED, sequential testing,
multi-arm, variance reduction)
- Production ML on Snowflake/AWS with dbt, Airflow, MLflow
Selected past work:
- End-to-end demand forecasting for a top-3 Turkish apparel
retailer (1000+ stores) — pipeline to deployment in 6 months
- Customer segmentation, churn prediction and upsell forecasting
at one of Turkey's largest telecom operators
- Demand forecasting and offer optimization for the commercial
segment of a tier-1 Turkish bank
- Store-level demand and visitor forecasting for a national
retail data platform
Stack: Python (Pandas, NumPy, Scikit-Learn, XGBoost, PyTorch),
Advanced SQL, Snowflake, BigQuery, dbt, Airflow, MLflow, AWS,
Docker, Tableau, Looker.
Available ~5–10 hrs/week. Async-friendly. Working in English
or Turkish.
Turkish
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- Rollic GamesSenior Data ScientistJanuary 2024 - Today (2 years and 7 months)Istanbul, Türkiye
- Led the development and deployment of critical data science projects such as In-App Purchase (IAP) forecasting and churn prediction, impacting user acquisition strategies and revenue streams. Collaborated closely with the marketing and product teams to align model outcomes with business goals, ensuring a direct impact on Return on Ad Spend (ROAS).
- Improved IAP forecasting accuracy by 15% by optimizing model performance and fine-tuning parameters using advanced machine learning techniques, significantly contributing to revenue growth.
- Deployed models at scale on cloud infrastructure (AWS, Snowflake) using Python, dbt, and Prefect, integrating with our existing data pipelines and ensuring real-time prediction capabilities for game events and user behaviors.
- Enhanced marketing campaign effectiveness by analyzing player behavior with advanced SQL queries and providing actionable insights to optimize user engagement, retention, and monetization strategies.
- Collaborated cross-functionally with growth, gaming, and product teams to translate complex data insights into practical solutions, driving key decisions for the company's growth strategy.
- Yapı Kredi BankasıSenior Data ScientistSeptember 2023 - January 2024 (4 months)Istanbul, Türkiye
- Developing demand forecasting models, optimizing offer systems for market expansion.
- Conducting customer segmentation, developing collaboration skills with marketing team
- Analyzing time series data to uncover trends and enhancing decision-making
- TurkcellSenior Data ScientistJune 2022 - September 2023 (1 year and 3 months)Istanbul, Türkiye
- Customer Segmentation using advanced SQL and Python
- Managing end-to-end projects such as Churn Prediction, Acquisition & Upsell Forecasting
- Managing Kids SmartWatch Demand Forecasting Project by using Python and Machine Learning Algorithms
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Education
- Master's DegreeMEF University2019Master's Degree
- Bachelor's DegreeYeditepe University2017Bachelor's Degree