Summary
Vedant Mehta is a senior data scientist with 8 years of experience applying forecasting, NLP, and analytics to operational and customer-facing problems across automotive and retail domains. He led service demand forecasting and repair-quality NLP at Tesla, directly influencing headcount/location planning and technician productivity, and now brings that production ML experience to Albertsons. Trained as an industrial engineer (MS, Texas A&M), he combines rigorous process thinking with hands-on skills in SQL, Python, and dashboarding to turn messy operational data into actionable plans. Known for bridging stakeholder needs and technical delivery, he also has a background teaching lab-based engineering courses, which informs his clear communication and mentorship style.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (B.Tech.) Industrial Engineering, Bachelor of Technology (B.Tech.) Industrial Engineering at Pandit Deendayal Energy University (PDEU)
Master of Science - MS Industrial Engineering, Master of Science - MS Industrial Engineering at Texas A&M University
English, Hindi, Gujarati