Helia Rahimi
Manager, Data Analytics - Merchandising Planning and Analytics @Loblaw Companies Limited
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WORK HISTORY
Manager, Data Analytics - Merchandising Planning and Analytics @Loblaw Companies Limited
Prescriptive Analytics & Decision Support: Leading the end-to-end development of promotional space planning solutions, translating merchant goals into automated recommendations for product availability and pricing- End-to-End Solution Architecture: Building and productionizing components for demand forecasting, promo uplift estimation, and price optimization using Python, SQL, and BigQuery- Data Pipeline Engineering: Architecting production-grade pipelines for feature generation, model validation, and automated delivery of insights into enterprise business planning tools.
EDUCATION
Islamic Azad University, Science And Research Branch
Master of Science - MS, Artificial Intelligence
Dalhousie University
PhD, Computer Science
George Brown Polytechnic
Postgraduate program, Applied AI Solutions Development, Computer Technology
University of Science and Culture
Bachelor of Science - BS, Computer Engineering, Software
ABOUT HELIA RAHIMI
Data Scientist & AI Engineer specializing in prescriptive analytics and scalable data solutions. I focus on bridging the gap between complex business strategy and automated decision-making systems.Currently, at Loblaw, I lead the development of automated merchandising and promotional planning tools. My work involves architecting robust data pipelines and decision-support frameworks—integrating demand forecasting, price optimization, and uplift modeling—leveraging Python, SQL, and GCP (Vertex AI/BigQuery).Personal Research & Projects:I am actively exploring the frontier of Agentic AI and RAG. My current personal projects focus on building intelligent agents that leverage Vector Databases (FAISS) and LLM orchestration to perform complex reasoning over unstructured data.
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