Pradnyesh Patil

Engineered Python scripts for accurate 3D mesh conversion of AutoCAD vehicle parts, improving production quality. Processed large-scale engineering data using SQL and scripting, and led data labeling, cleaning, and preprocessing for machine learning. Researched and deployed predictive models for machine allocation in sheet metal production with high accuracy.

Built a user-friendly front end for a machine learning module to forecast production metrics using historical and planning data. Developed and iterated manufacturing order management interfaces with Next.js and TailwindCSS, continuously incorporating client feedback to deliver optimal usability and functionality.

Customized and configured ERPNext to meet business requirements by creating custom forms, fields, reports, dashboards, and automation scripts. Set up system parameters, roles, and access controls, and migrated data with full integrity. Delivered ERP training to 50+ users, enabling efficient adoption, streamlined operations, and improved data-driven decision-making.