Hashim Gulzar is a data scientist based in Minneapolis with nine years of experience turning marketing and sports data into actionable insights using Python, R, SQL and modern data warehouses. With a BS in Economics and an MS in Data Science, he blends economic intuition, statistical rigor, and software engineering to automate large-scale ETL, forecasting, and attribution pipelines for ad platforms and e-commerce. At Range Digital Marketing he built production Python tooling that automated bidding across 50k+ keywords, integrated multi-platform APIs into Snowflake/BigQuery, and deployed web apps and APIs to streamline ad operations. His background at Sportradar and personal sports-analytics projects on GitHub underscore a sustained interest in real-time sports data and applied analytics. Notably, he couples practical automation—bulk ad uploads, LTV projections, Markov-chain attribution—with a focus on measurable ROI for clients.
8 years of coding experience
Bachelor of Science - BS, Economics, Minor Mathematics & Statistics, Bachelor of Science - BS, Economics, Minor Mathematics & Statistics at University of Minnesota
High School Diploma, Economics, Accounting, Math, High School Diploma, Economics, Accounting, Math at Cambridge International School Dubai
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of St. Thomas
This is a simple 4x4 Sudoku game I created in Python for my class.
Contributions:6 commits, 5 pushes, 1 branch in 1 day
pythongamepygamesudokupython3
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