Kevin Ashokkumar Patel
Supply Chain Analyst | Rockwell Automation | Ex-Cognizant | Demand Planning | SAP IBP | Inventory Optimization | S&OP | SQL | Power BI
- Role
- Data Analyst at Centene Corporation
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Kevin Ashokkumar Patel
I am a data-driven Supply Chain Analyst with 4 years of experience driving forecast accuracy, inventory optimization, and production planning across complex multi-site supply networks.Currently at Rockwell Automation, I lead demand-supply reconciliation for 1,200+ SKUs across North America using SAP IBP, SAP ECC, and advanced analytics tools. I improved forecast accuracy from 71% to 86%, reduced backorders by 15%, and unlocked $4.2M in working capital through safety stock optimization and service-level segmentation.Previously at Cognizant, I supported SAP S/4HANA supply chain transformation initiatives across SKUs, reducing planned order errors by 28% and improving ERP data consistency by 95%.My core strengths include:• Demand Forecasting & S & OP• Inventory & Safety Stock Optimization• SAP IBP, S/4HANA, ECC• SQL, Python & Power BI Analytics• ERP Migration & Planning GovernanceI am passionate about combining analytics, ERP systems, and operational strategy to create stable, resilient supply chains.Open to opportunities in IBP, Demand Planning, and Supply Chain Strategy roles.
Experience
Data Analyst
Aug 2024 — Present · US
Optimized SQL queries in PostgreSQL and Microsoft Azure SQL Database, improving claims data retrieval efficiency by 20% and accuracy for CMS compliance reporting.Automated Medicare claims data validation using Python (Pandas, NumPy) and PL/SQL, cutting manual processing time by 15% and enhancing data integrity.Designed Power BI dashboards that tracked over 200K+ claims, visualizing claims trends, provider performance, and risk adjustment scores, leading to a 12% improvement in cost containment strategies.Enhanced ETL workflows using Azure Data Factory and SQL Server, optimizing data ingestion and transformation to support business intelligence (BI) teams in fraud detection analysis.Assisted in anomaly detection algorithms in Python (SciPy, Matplotlib) to identify fraud risk patterns, providing critical insights for predictive fraud detection models.Collaborated with product managers and stakeholders to develop data-driven solutions, optimizing Medicare claims reporting and enabling executive decision-making with actionable insights.Conducted statistical analysis on inventory and demand forecasting models, providing insights that influenced inventory optimization strategies and reduced excess stock by 10%.
Education
University of Mumbai
Bachelor of Engineering - BE, Computer Engineering
2018 — 2022
Arizona State University
Master of Science - MS, Information Technology
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