Summary
Akshay Kapoor is a Senior Data Scientist with six years of experience building data and ML platforms that move models from research into production across insurance and pension domains. He has delivered high-impact telematics solutions at Intact—driving a projected $1M annual benefit, scaling ingestion for 10M monthly events, and launching features for 400k+ customers—while also implementing geospatial H3 binning and advanced clustering for refined segmentation. More recently he has focused on platform engineering with Azure Databricks, PySpark and robust data quality frameworks to enable real-time analytics and reproducible pipelines. His background in electrical engineering and an MEng in machine learning from University of Waterloo give him a practical systems view that informs reliable model deployment and monitoring. Beyond models, he pairs hands-on data engineering with strategic product thinking, mentoring industry learners and shaping cross-functional solutions. Colleagues value him for translating complex signal-level problems into scalable, business-driving analytics.
6 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE Electrical engineering, Bachelor of Engineering - BE Electrical engineering at Thapar Institute of Engineering & Technology
Master of Engineering - MEng ECE : Machine learning Specialization, Master of Engineering - MEng ECE : Machine learning Specialization at University of Waterloo
English, Hindi, Punjabi, Gujarati