Abhinav Dubey

Developed and implemented machine learning models to optimize processes and enhance decision-making across sales, procurement, and marketing, significantly boosting key performance indicators and efficiency. Key achievements include: PI Location Optimization Using Clustering (boosting same-day inspections to 23%); Bike Part Identification Enhancement (reducing misidentification costs by 9%); Lead Prioritization Algorithm Development Using Logistic Regression (raising same-day conversions from 18% to 21%); Statistical Analysis for Parts Cost Estimation (boosting conversion rates from 23% to 30%); Used Bike Refurbishment Cost Prediction (boosting gross margins by 1%); End-to-End Procurement and Sales Price Predictor (increasing bike gross margins from 6k to 14k); Automated Reporting Tool Implementation (automating report delivery to Google Space); Marketing Analytics: Marketing Funnel (improving ROI by 6%).

Developed and applied machine learning models, including a linear model for retail sales prediction, driving significant profit optimizations and contributing to client revenue growth through data-driven insights.

Leveraged SAP BODS ETL and ABAP programming to enhance data precision and operational efficiency in aviation client data integration and inventory management.