Shreekant Saurabh

Implemented Machine Learning models for price & promotion simulation tool. Implemented and deployed a ML model for estimating price elasticity of demand. Driving data initiatives and collaborated with business units & Pricing Head of the countries. Developed a Generative AI chatbot using Gemini LLM API to provide real-time query support. Recruited and mentored a team, fostering a culture of collaboration and innovation. Built an automated deployment pipeline on Google Cloud Platform

Projects Implemented: - Employee’s expenses classification using NLP and Machine Learning Multi-level classifier. - Semi-Supervised Document classification using Natural Language Processing and LDA. - Human Resource Analytics on salary remuneration and gender pay gap statistical analysis. - Optical Character Recognition of Hand-written & digital texts using Neural Network & Computer Vision API on Microsoft Azure.

Projects Implemented: - Apply Computer Vision and Convolutional Neural Network to automate the User Interface display panel appearance validation on HP printers. - Bank Customer Segmentation using Decision Tree. - Customer Churn Behaviour using Decision Tree & Random Forest.

Projects Implemented: - Implemented Chatbot using Deep Learning & NLP for Vodafone’s technical support team. - Telecom Customer Churn Analysis using Decision Tree. - Customer’s Review Analysis using Natural Language Processing.