Jyant is a highly motivated Data Enthusiast with a Postgraduate degree in Artificial Intelligence from Great Lakes. He embarked on his IT journey with Accenture, where he gained valuable experience working on SAP BODS, SQL, PYTHON, and Excel for US-based retail clients. Following this, he joined Impact Analytics, an AI-based product company, where he utilized R, Python, SQL, AWS, GCP, GUROBI, and other state-of-the-art technologies while also enhancing his interpersonal skills, such as presentation, product roadmap, and client meetings. While working with Sapient, Jyant led a team in delivering products ranging from price optimization to movie recommendations and a Credit scoring model using Python, R, Advance SQL, Superset, Airflow, Git, Azure, Pyspark, and more.

Currently, Jyant is leading a team at Zscaler to develop two models: an attrition model and a chatbot using AWS LEX. Jyant has a strong track record in addressing various challenges, including Regression model for promotion optimization, Seaborn and Matplotlib for exhaustive EDA, CNN, RESNET50 for image attribute tagging, NLP for data extraction, Movie recommendation engine using Lightfm Neural network model, Price Optimization Model, and Credit Scoring Model using Bank and retail data.

Expertise: Data Analytics, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Large Language Models, Generative AI, AutoML, MLOps