Chinmay Yalameli
Senior Data Scientist E-commerce Recommendations
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolChinmay Yalameli is a Senior Data Scientist with 8 years of experience building production-grade ML systems, currently leading e-commerce recommendation efforts at Gap Inc. He specializes in hybrid recommendation models—combining collaborative filtering, content-based approaches and transformer architectures—to deliver real-time, inventory-aware personalization that has outperformed third-party vendors in A/B tests. Skilled across the full ML lifecycle, he engineers scalable pipelines with PySpark/Azure Databricks, CI/CD, and MLflow, and translates complex models into business-aligned features like pricing and inventory constraints. His background in genomics research and high-performance bioinformatics pipelines gives him a strong foundation in large-scale data engineering and experimental rigor. Driven by measurable impact, he balances cutting-edge modeling with practical deployment and experimentation to improve revenue, fulfillment, and customer experience.
8 years of coding experience
5 years of employment as a software developer
Master of Science, Information management (Data Science), 3.9, Master of Science, Information management (Data Science), 3.9 at University of WashingtonDeeplearning Specialization, Deep learning, 98%, Deeplearning Specialization, Deep learning, 98% at CourseraProfessional Certification in Deep learning, Deep learning, 98%, Professional Certification in Deep learning, Deep learning, 98% at edXBachelor of Engineering, Information Technology, 3.85, Bachelor of Engineering, Information Technology, 3.85 at Visvesvaraya Technological UniversityPreuniversity, Science, Preuniversity, Science at Sainik School, BijapurGithub contributions (5)
Chinmay4285/Chinmay4285.github.io
Aug 2019 - Oct 2020
Contributions:195 pushes, 1 branch in 1 year 2 months
Chinmay4285/Image-Classification-TensorFlow-Alexnet
Sep 2019 - Oct 2020
Contributions:16 commits, 15 pushes, 1 branch in 1 year 1 month
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