Alptekin Uzel

Rider & Forecasting Squad. - Forecasting order demand in 40 countries. Time series & regression techniques. - Predicting rider metrics. - Price elasticity and optimization. - Tech Stack: Python, R, Bigquery, Docker, Airflow

Data Scientist in Growth & Marketing team of the leading e-commerce platform. Responsible from personalization of the e-commerce experience via machine learning models: propensity models, price elasticity, recommendation and sales forecasting.

Developing and deploying machine learning models with historical mobility data (up to last 5 years). Visualization and analysis of traffic congestion data. Also clustering and scoring of regions. Time series forecasting with geospatial data. Helping to develop location intelligence solutions for PropTech, retail and logistics. Business development and product management. Leading operationalization of data analytics as well.