This session will guide you through every stage of the machine learning process, from data preprocessing and feature engineering to model training, pipeline construction, and deployment. The session will begin by preparing and transforming data to ensure it’s ready for model training. Next, dive into building scalable ML pipelines within MLFlow, where you’ll learn how to track experiments, monitor model performance, and manage version control. These features enable a streamlined and reproducible workflow, empowering both beginner and experienced practitioners to understand and implement...
Priyanka Asnani
Senior ML Engineer
Fidelity Investments
Priyanka Asnani is a Senior Machine Learning Engineer at Fidelity Investments with over 7 years of experience. She specializes in building end-to-end machine learning pipelines, focusing on recommender and ranking systems. Her expertise spans large language models, deep learning, and time-series forecasting. Priyanka excels at applying machine learning techniques to solve complex problems across industries. She is an active community contributor who shares her knowledge through public speaking, webinars, and technical content; helping aspiring data scientists stay updated with industry trends.