Summary
Sanjiv Shah is a data analyst with eight years of experience delivering data-driven solutions across energy, manufacturing, and technology-enabled industries. He specializes in ETL, data wrangling, machine learning, and data visualizations, with hands-on experience in Hadoop, SQL Server, Hive, Python and R. While at Helmerich & Payne, he developed a real-time data retrieval tool used over 500 times in its first year, saving more than 1,000 man-hours, and built a predictive maintenance ML model that cut annual direct material costs by over $250k. Currently self-employed and seeking a challenging data analysis or data science role, he is open to relocation and collaborates across engineering, operations, maintenance, supply chain and IT. Based in Ahmedabad, India, he is pursuing a Master of Science in Data Science & Analytics at the University of Oklahoma, underscoring a commitment to continued learning and cross-disciplinary problem solving.
9 years of coding experience
14 years of employment as a software developer
Master of Science (M.S.), Civil Engineering, Master of Science (M.S.), Civil Engineering at New Jersey Institute of Technology
Bachelor of Engineering (B.E.), Environmental Engineering, Bachelor of Engineering (B.E.), Environmental Engineering at Gujarat University
Master of Science (M.S.), Data Science & Analytics, Master of Science (M.S.), Data Science & Analytics at University of Oklahoma
English, Hindi, Gujarati