Muneeb Alam is a Data Science Manager with a decade of experience translating complex data into operational value for public sector and heavy industry clients, now leading data science at CarMax. He combines hands-on modeling and production deployment with people leadership, having spent three years in hybrid IC-manager roles and routinely briefing senior and non-technical stakeholders. His background at QuantumBlack/McKinsey includes predictive, prescriptive, and causal work, multiple patents in mining solutions, and recent generative AI implementations such as RAG, fine-tuning, multi-agent systems, and SQL/code agents. Trained in astrophysics and business analytics, he brings a research-minded approach to applied problems and a knack for making models usable on the front line. An avid amateur astronomer and sports fan, he blends technical rigor with practical product instincts to deliver decision-support tools that stick.
9 years of coding experience
9 years of employment as a software developer
QSI International School of Tbilisi
Thomas Jefferson High School for Science and Technology
Bachelor of Arts (B.A.) Astrophysics, Bachelor of Arts (B.A.) Astrophysics at Columbia University
Master of Science (MSc) Business Analytics, Master of Science (MSc) Business Analytics at Imperial College Business School
Contributions:45 commits, 11 pushes, 4 branches in 5 months
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