Sheel Patel

About Sheel Patel

I am interested in Supply Chain Management, Inventory- Procurement & Logistics Planning, Lean thinking & Quality Manufacturing. Currently, working as Business Analyst in Supply Chain/Operations at Prime Healthcare.

Experience

1. Business Analyst

   Prime Healthcare

   Aug 2020 — Present · Ontario, CA, US

   Leveraged SQL and Python to analyze supply items utilization and purchasing trends, optimizing reorder points and order quantities. Reduced stockouts by 30%, saving $1.2 million in expired inventory, capital, and expedition costs.Led the centralization of purchasing for supplies across all hospitals, reducing labor hours by 18%, streamlining the buying process, and achieving a 13% reduction in supply costs. Developed metrics to baseline and track performance.Spearheaded the standardization of vendors across 45 hospitals by collaborating with stakeholders to improve contract negotiations with vendors, achieve standard pricing, increase contract compliance by 20%.Developed and implemented a data validation model using SQL and Python to separate POs requiring further validation from those that could be automated using a Selenium Library-powered automation tool. Automated 70% of POs, reducing the PO process by 34%.Designed and created ERDs and databases for the backend of an internal portal for PO validation, requisition approval, inventory, and contract management, leveraging data validation models to identify issues and provide supporting data to make informed decisions. This drastically reduced PO processing time by 65%, reduced the number of exceptions by 58%, provided the team with the ability to customize, and helped to identify issues and future cost-saving opportunities.Systematized warehouse practices and identified bottlenecks and improvement opportunities using process mapping and SIPOC techniques. Built baselines and KPIs to track process performance and used cause-and-effect metrics to reduce the process time from receiving to delivery by 15%.Developed and implemented an ARIMA model to predict one-week future patient census, enabling optimized staffing schedules. Developed KPIs to identify over and understaffing, and calculated productivity, resulting in improved patient-to-nurse ratio and reduced department operating expenses.

Education

• The Maharaja Sayajirao University of Baroda

  Bachelor's degree, Metallurgical and Materials Engineering

  2013 — 2017

• University of Michigan

  Master's degree, Industrial and Operations Engineering

  2018 — 2020