● Building software that detects and classifies esca disease in vineyards using CNN, Deep Neural Networks, Keras, Tensorflow, and OpenCV

to help farmers assess the health of the crop in real-time using a mobile camera image and recommend a course of action.

● Deployed machine learning models to AWS Sagemaker and helped reduce training time by 15%.

● Developing a front-end user-friendly interface using HTML, React, and CSS to process the image and display results.

Developed an Optical Character Recognition module for invoices and Public IDs using Microsoft Azure ML Studio, ABBYY FineReader, Python, and Azure OCR for consolidation of invoices.

Teamed up with an American multinational pharmaceutical company on Material Master Data Management projects for migration of acquired company data into SAP Atlas and data validation using the Aera reporting tool. Helped reduce the accounting and costing errors of products sold by 5%.

Supported the Business consulting team in providing TV advertisement telecast mismatch analysis to multiple Indian Multinational consumer goods companies using SQL Server. Later automated the flow using Alteryx and reduced the delivery time by 4 hours.