Summary
Dhanya Dave is a Senior Data Engineer based in Brampton, Ontario with a decade of experience building data-driven solutions across retail, healthcare, and manufacturing domains. She combines machine learning and identity-resolution expertise with strong engineering foundations—creating repeatable ETL pipelines, matching algorithms, and production data products at The Home Depot Canada and Loblaw. With an academic background in AI from Smith School of Business and hands-on experience in computer vision and deep learning from Fellowship.AI, she bridges research-grade modeling and reliable enterprise implementation. Her early career in controls and systems design gives her a practical edge for integrating data systems with operational technology. Notably, she has improved model performance for medical imaging projects and developed tools to securely handle sensitive PII, demonstrating both technical depth and attention to governance.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Engineering Systems and Computing, Bachelor of Engineering (B.Eng.), Engineering Systems and Computing at University of Guelph
Master of Management in Artificial Intelligence, Artificial Intelligence, Master of Management in Artificial Intelligence, Artificial Intelligence at Smith School of Business at Queen's University
Gujarati, Hindi, English