Ankur Tomar

Senior Applied Scientist at Amazon

Seattle, Washington, United States
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Summary

👤
Senior
🎓
Top School
Ankur Tomar is a Senior Applied Scientist with eight years of experience applying machine learning, deep learning and NLP to drive multimillion-dollar impact across retail, insurance and financial services. He holds an MS in Business Analytics from the University of Minnesota and has combined rigorous academic grounding with production ML at U.S. Bank and Amazon, where he progressed from Applied Scientist to Senior Applied Scientist. His work spans end-to-end solutions—market-basket analysis, ensemble forecasting, anomaly detection and promotional uplift modeling—that have produced measurable revenue and cost savings for large enterprises. Comfortable translating business problems into scalable models, he has led cross-functional projects that improved claims assignment, reduced operational spend, and optimized store and hotel allocation. Beyond production work, he teaches and writes about analytics (Medium blog) and brings a hands-on background from university analytics labs and student leadership roles, indicating an inclination for mentoring and practical deployment. He blends analytical rigor with product focus, often surfacing non-obvious opportunities—like cashier allocation and customer-worth recalibration—that unlock incremental revenue.
code8 years of coding experience
job7 years of employment as a software developer
bookMaster of Science - MS Business Analytics, Master of Science - MS Business Analytics at UMN Carlson School of Management
bookBachelor of Technology (B.Tech.) Electrical Engineering, Bachelor of Technology (B.Tech.) Electrical Engineering at Delhi College of Engineering
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Github Skills (28)

langchain9
chatgpt9
llm9
python9
typescript9
ai9
generative-ai9
gemini9
openai9
anthropic9
pydantic8
bert8
topic-models8
open-source8
sentence-embeddings8

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contributions:7 pushes, 1 branch in 3 years 4 months
ankur287/Recommender-Systems

Jun 2018 - Jan 2019

Contributions:3 commits, 2 pushes, 1 branch in 7 months
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