Shahzeb Afroze is a Full Stack CSE with eight years of experience building data-driven web applications and analytics solutions, currently developing at Plotly in Ottawa. He brings a hybrid background in machine learning and business analytics from roles at Deloitte and research work at Schulich, where he built ML systems for real estate valuation and live facial sentiment analysis. Known for practical automation—like accelerating reporting and collections via Python and Excel—he consistently turns data into actionable tools for merchandising, supply chain, and banking clients. An active learner and hackathon regular, he pairs hands-on coding with a statistics foundation from MITx to bridge rigorous models and production-ready software.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Business Administration (BBA) - Honours, Operation management & Information System, Bachelor of Business Administration (BBA) - Honours, Operation management & Information System at York University - Schulich School of Business
O-Levels, 8A*, 1A, O-Levels, 8A*, 1A at River Oaks Academy
A-Levels, 2A*, 1A, A-Levels, 2A*, 1A at Nixor College
MicroMasters, Statistics and Data Science, MicroMasters, Statistics and Data Science at MITx on edX
Contributions:1 PR, 2 pushes, 2 branches in 2 years 9 months
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