Summary
Rabeez Riaz is a Senior Data Scientist with a decade of experience applying linear algebra, statistics and deep learning to customer analytics, churn and propensity modeling across multiple geographies and industries. He has a strong track record at McKinsey/QuantumBlack delivering production-ready CVM solutions, feature engineering libraries, real-time dashboards and analytical tooling that bridge data engineering and business stakeholders. Comfortable hands-on with computer vision and deep learning from his academic work, Rabeez pairs research-oriented rigor with pragmatic product delivery, having built recommender prototypes and forecasting tools for large retail and public-sector clients. Now based in Tallinn and leading data science at Bolt, he is known for turning complex business requirements into auditable analytics pipelines and purpose-built visualizations that drive decision-making.
10 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Lahore University of Management Sciences
English, Urdu