DIVYA KUNDER

Performed training/re-training, hyperparameter tuning and testing of various models of different abnormalities in Medical Images (Chest X-Ray Scans). Built, trained and tested Machine Learning Model(Random Forest) for multi-label classification of slice thickness and planes of Medical Images (Head CT Scans). Assisted R&D Team by developing AdHoc Modules for qER - Neuro AI Solution and qXR. Trained and Managed a team of AI Trainees.

Implemented and tested various functions for Module Refactoring which helped with scalability and maintainability of the product, also reducing system complexity and runtime drastically. Developed a Standardized Automated template for EDA inputs which helped in limiting/eliminating manual errors. Forecasted the quantity demanded for upcoming time periods to help better plan production and inventory management. Optimized the spends across different KPIs for scenarios such as Target Maximization and Budget minimization for the forecasted time periods. Developed a standardized Automated application for Mix Optimization Analysis & Visualization which was globally launched. Built an application to extract data from eCom websites for additional product information and data validation. Developed a standardized Automated application for Standard NRM Lever 3. Jarvis – Time Series Forecasting Product. NRM (Net Revenue Management) - Mix Optimization. NRM (Net Revenue Management) - Standard.