Shreekant Saurabh

Partnered with Lufthansa to deliver Automatic Speech Recognition and Transcription using OpenAI Whisper model for Emergency Door Evacuation training. Designed and Deployed LLM based Generative AI Document Generator web application on Microsoft Azure. Delivered a Generative AI Chatbot Agent leveraging LLM in Microsoft Copilot Studio to efficiently handle and respond to SAP Finance queries.

Directed team to implement 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

- Optical Character Recognition of Hand-written & digital texts using Neural Network & Computer Vision API on Microsoft Azure. - Bank Customer Segmentation using Decision Tree. - Customer Churn Behaviour using Decision Tree & Random Forest. - Employee’s expenses classification using NLP and Machine Learning Multi-level classifier.

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. - Semi-Supervised Document classification using Natural Language Processing and LDA. - Human Resource Analytics on salary remuneration and gender pay gap statistical analysis.