Shilpi is a self-motivated and business-savvy data scientist with broad experience in collaborating with focused groups within the business and IT ecosystems to avoid redundancy and establish best practices and guidelines for selecting, developing, and implementing analytics projects. As a lead data scientist, she Works with business domain experts and application developers to identify data relevant for analysis/mining that drives AI-powered automation. She leads the research and development of new predictive/analytical modeling methods and/or tools in the Financial (Capital Market & Asset Management), industrial, and Utility domains. She has extensive Experience with developing and planning data mining and analytics projects in response to strategic business needs. Shilpi is Involved in diagnosing and Resolving predictive/analytical model performance issues, monitoring analytical system performance, and implementing efficiency improvements. She has been driving innovation in platform engineering for energy demand response optimization, dynamic price performance analysis, and leveraging smart grid analytics and DER Integration standards. Shilpi specializes in deep learning, graph modeling, multivariate testing (A/B testing) and optimization algorithms, descriptive, exploratory, inferential, and predictive modeling of the given scenario, along with data modeling and recognizing KPIs. She has been working with Big Data Analytics and data mining technologies over the last ten years.