Anil Kumar Harsha

About Anil Kumar Harsha

I am a Supply Chain Data Analyst at ATS Corporation, where I work with IT and Supply Chain teams from all divisions to collect, organize, and format global purchasing data into standard, regular information reports. I produce periodic key performance indicators scorecards, communicate with ATS Divisions, and continuously improve data structures and gathering processes. I also support Supply Chain performance improvement by providing targeted analysis to Category Leads.I have a Master\'s degree in Engineering/Industrial Management from The University of Texas at Arlington, and three years of experience as a supply chain/data analyst in various industries. I have expertise in analyzing, procurement, logistics, business analytics, and inventory management, using various tools and software, such as ERP SAP, Advanced MS Excel, Power BI and Tableau, and SQL. I am self-motivated, goal-oriented, and diligent, with a track record of exceeding goals and deadlines throughout my career. I am passionate about improving supply chain efficiency and effectiveness, and delivering value to the customers and the organization.

Experience

1. Supply Chain Data Analyst

   ATS Corporation

   Mar 2024 — Present · Bengaluru, IN

   Working with IT and Supply Chain teams from all divisions: collect, organize, and format all global purchasing data into standard, regular information reports. Led data-driven supply chain initiatives by producing periodic KPI dashboard and scorecards to track performance and improve decision making. Communicating with ATS Divisions to disseminate reports and collected information 4. Continuously improving data structures and gathering processes, including implementation of common category codes, and part numbering standards where appropriate. Working with Category Leads to create and maintain sourcing information files to support efficient category analysis. Support Supply Chain performance improvement by providing targeted analysis.6. Using machine learning tools to select features, create and optimize classifiers,preprocessing of structured and unstructured data.7. Data mining or extracting usable data from valuable data sources.8. Processing, cleansing, and validating the integrity of data to be used for analysis.

Education

• BNM Institute Of Technology

  Bachelor's degree, Electrical and Electronics Engineering

• The University of Texas at Arlington

  Master's degree, Engineering/Industrial Management