Summary
Hitesh Gohil is a Senior Data Analyst at UHG-Optum with six years of experience transforming complex healthcare datasets into actionable insights and process automation. He blends advanced SQL, Python, and statistical modeling—honed during a Master’s in Industrial Engineering at University at Buffalo—to improve claims quality, automate reconciliation workflows (eliminating ~90% of manual effort), and raise submission rates to 98%. His background includes predictive analytics and dashboarding for payers, where he delivered a high-impact model that identified high-risk patients and quantified $55K in annual savings. Comfortable moving between code, dashboards, and stakeholder-facing reports, Hitesh also applies practical operations research techniques from supply-chain internships to reduce waste and optimize inventory. Based in Bellevue, WA, he pairs technical rigor with a knack for pragmatic automation that scales routine healthcare processes.
6 years of coding experience
Mechanical Engineering, Mechanical Engineering at KJ Somaiya College of Engineering, Vidyavihar
Master's degree Industrial Engineering, Master's degree Industrial Engineering at University at Buffalo
German, English, Hindi, Gujarati