Kazım sanlav is a data scientist with 8 years of hands-on experience building ranking, personalization, and forecasting systems for high-traffic e-commerce and delivery platforms. Based in Berlin, he has driven production ML features—from personalized product listings and campaign optimization to demand forecasting and price elasticity—at companies like Delivery Hero, Trendyol and Getir, often owning onboarding and team supervision. He is comfortable across the ML stack and cloud platforms (BigQuery/Presto, AWS/GCP, Kafka, Docker) and has delivered both real-time personalization and batch price-optimization pipelines. Notably, his background spans applied research (real estate value prediction) to productionizing models for capacity planning and anomaly detection, reflecting a blend of quantitative rigor and product-focused implementation.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Bachelor's degree at Bilkent University
Contributions:2 releases, 44 commits, 2 PRs in 2 years 2 months
deep-learning
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