- Built Q&A system on RFP documents using NLP- Built Q&A Chatbot for client documents using Gen AI- Built Q&A Chatbot for large video database using Gen AI

• Built retail analytics tool for small/medium retailers along with other team members.• Generated the catchment area for each store and predicted the customer origin location.• This tool helped the clients to understand their chances of customer store visits. • By analyzing large datasets and using geospatial analysis techniques, I have helped clients identify the most profitable store locations, and improve store performance.

𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 & 𝐃𝐞𝐦𝐚𝐧𝐝 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠•Worked on data preprocessing and feature extraction to get insights about product sales in different regions/countries. •Performed the customer segmentation analysis, to better understand customer behavior. Regression algorithms were used for sales revenue estimation and for demand forecasting. •Classification algorithms were used for fraud detection and for identifying late delivery… Show more 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 & 𝐃𝐞𝐦𝐚𝐧𝐝 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠•Worked on data preprocessing and feature extraction to get insights about product sales in different regions/countries. •Performed the customer segmentation analysis, to better understand customer behavior. Regression algorithms were used for sales revenue estimation and for demand forecasting. •Classification algorithms were used for fraud detection and for identifying late delivery risk.𝐏𝐚𝐬𝐬𝐚𝐠𝐞 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 𝐌𝐨𝐝𝐞𝐥 𝐮𝐬𝐢𝐧𝐠 𝐍𝐋𝐏•Developed a Passage Retrieval Model using NLP in Python for accurate extraction of PDF's information.•Tested different models to extract relevant ESG metric passages from annual reports and built hybrid model for accurate results.•Hybrid model shows bounding boxes on top k matched passages in PDF based on user query.𝐀𝐢𝐫 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐞𝐫𝐬/𝐇𝐞𝐚𝐭 𝐏𝐮𝐦𝐩𝐬 𝐓𝐞𝐬𝐭𝐢𝐧𝐠• Performed the vibration, package test on residential products to check the reliability of structural components.• Performed data preprocessing of test data to identify trends and then compared with the simulation results, which will help the business to make strategic decisions. Show less

• Developed a machine learning classification technique for wafer sensor fault detection, saving significant time and costs associated with manual inspection.Implemented an efficient machine learning model for wafer sensor fault detection, streamlining the inspection process and optimizing resource utilization.• Investigation on field failures of HVAC components and giving effective solutions to increase the life of the product.• Developing test plan for analysis validation and… Show more • Developed a machine learning classification technique for wafer sensor fault detection, saving significant time and costs associated with manual inspection.Implemented an efficient machine learning model for wafer sensor fault detection, streamlining the inspection process and optimizing resource utilization.• Investigation on field failures of HVAC components and giving effective solutions to increase the life of the product.• Developing test plan for analysis validation and correlation to simulation results. Show less

Organized various events, and departmental activities.

As a Teaching Assistant, coordinated the lab sessions on 'Tensile Testing of Mild Steel' for the Undergraduate Students, and also evaluated their activities.