Toronto, Ontario, Canada
AI & Data Scientist based in Toronto. I build production ML systems that cut costs and drive decisions, not just models that live in notebooks. Dual Master's · 4.0 GPA · Mississippi State University (USA). Published researcher (4 papers, IEEE). McKinsey Forward Program '26. BCG Platinion Hackathon. Delivered industrial AI systems reducing unplanned downtime by 25%. I speak both languages, machine learning and the boardroom. Open to AI consulting, data science, and cloud roles in Toronto.
- Completed McKinsey's selective leadership and problem-solving program, applied McKinsey's structured frameworks (MECE, issue-tree thinking) to break down complex, ambiguous business challenges across industries. - Built working proficiency in Agentic AI and Generative AI for enterprise teams, translating cutting-edge AI capabilities into practical, adoption-ready solutions for non-technical stakeholders. - Developed consulting-grade communication skills: structuring ambiguous problems into clear hypotheses, synthesizing complex data into executive narratives, and driving organizational AI adoption.
Conducted research on quantum-enhanced recommender systems and parallel computing architectures under the Department of Computer Science & Engineering. Designed and implemented hybrid classical–quantum algorithms for data-driven recommendation and optimization problems. Developed and maintained SQL Server procedures and parallelized data pipelines, improving efficiency and scalability for large-scale datasets. Collaborated with faculty and graduate teams to align research outcomes with real-world industrial applications.
Completed the Final Year Engineering Project (PFE) at TicLab, focusing on the design and deployment of a recommender system for data-driven decision support. Developed a full-stack solution using Flask, Docker, and Python, integrating machine learning models with a scalable backend architecture. Applied concepts of Big Data, Cloud Computing, and Business Intelligence to deliver a production-ready prototype aligned with real-world use cases. Presented findings and implementation to a technical jury, achieving Distinction for innovation and technical quality.
Completed a year-end project (PFA) within SOTREG, a subsidiary of OCP Group, focusing on ETL process optimization and database reliability. Designed and implemented SSIS packages for SQL Server, streamlining data integration workflows and improving system performance. Developed over 30 monitoring and validation checks to ensure data accuracy, detect anomalies early, and reduce downtime. Contributed to automating data flows across departments, enhancing reporting efficiency and operational visibility.