Summary
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.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS Business Analytics, Master of Science - MS Business Analytics at UMN Carlson School of Management
Bachelor of Technology (B.Tech.) Electrical Engineering, Bachelor of Technology (B.Tech.) Electrical Engineering at Delhi College of Engineering