Summary
Abhinav Lakhani is a data scientist with a mechatronics and robotics engineering background and seven years of experience applying machine learning, statistical modeling, and ETL practices to business problems. He combines hands-on proficiency in Python, Julia, R, SQL, cloud platforms (GCP, AWS, Azure), and tools like Docker and DVC with experience building recommenders, forecasting models (SARIMA), and Monte Carlo simulations. Comfortable translating technical results for non-technical stakeholders, Abhinav has applied data-driven process improvements in retail fulfillment and product support roles to reduce operational lead times. He pairs academic training—a BTech in Mechatronics and a graduate certificate in Data Analytics—with practical experimentation in game AI and applied computer vision. Known for an iterative, research-driven problem-solving approach, he focuses on building reproducible solutions and refining them through measurement. Based in Alberta, Canada, he blends customer-facing service experience with deep data engineering and modeling skills to deliver actionable insights.
7 years of coding experience
1 year of employment as a software developer
Bachelor of Technology - BTech, Mechatronics, Robotics, and Automation Engineering, 6.5, Bachelor of Technology - BTech, Mechatronics, Robotics, and Automation Engineering, 6.5 at Ganpat University
Graduate certificate, Data Analytics for business, 4.00, Graduate certificate, Data Analytics for business, 4.00 at St. Clair College
English, Gujarati, Hindi