Vishishta Venkatesha Shetty
Proficient Supply Chain Analyst | Driving Efficiency Through Advanced Analytics & Continuous Improvement 🌟🔧
- Role
- Supply Chain Analyst at Honeywell Technologies
- Location
- Los Angeles, CA, US
- LinkedIn followers
- 500 followers
About Vishishta Venkatesha Shetty
Experienced Supply Chain Analyst with 4 years in optimizing processes and enhancing inventory management. Proficient in advanced analytics tools like Excel, Python, and ERP systems (SAP, Oracle) to drive data-driven decisions. Process Improvement: Developed and implemented strategies that reduce costs and enhance efficiency. Demand Forecasting: Skilled in forecasting to improve accuracy and minimize stock discrepancies. Vendor Management: Strengthened relationships and improved supplier performance through effective tracking systems. 🤝 Continuous Improvement: Committed to delivering measurable results that align with organizational goals. Ready to leverage skills in a dynamic environment!
Experience
Supply Chain Analyst
Jul 2024 — Present
Spearheaded an end-to-end supply chain optimization initiative, streamlining vendor management and procurement planning, leveraging Power BI and Tableau for data visualization.Designed and implemented Monte Carlo simulations using Python (Pandas, NumPy) to refine demand forecasts, ensuring improved alignment between production capacity and demand variability.Developed a vendor performance tracking system in Tableau, monitoring key metrics such as lead times and on-time delivery, integrated with ERP systems (SAP) and SQL databases.Automated the logistics coordination and shipment tracking process using RPA tools and analytics in Power BI, eliminating manual errors in the logistics chain.Led scenario planning efforts to simulate supply chain disruptions using Python models, while coordinating the project with Agile methodologies and tracking progress through JIRA.
Education
JSS SCIENCE AND TECHNOLOGY UNIVERSITY
Bachelor of Engineering - BE
2016 — 2020
California State University, Northridge
Master of Science - MS
2022 — 2024
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