About

Sejal Jaiswal is a highly skilled Product Analyst at McKinsey with 5.68 years of experience in the field of Artificial Intelligence, Machine Learning, and Data Science. She holds a Master's degree in Artificial Intelligence from KU Leuven and a Master's degree in Computer Science from Université Jean Monnet Saint-Etienne. She also has a Bachelor's degree in Computer Science and Engineering from NIT Rourkela. Sejal has worked with the World Food Programme as a Data Scientist, where she maintained data pipelines and performed analysis for the "real" countries displayed on HungerMap Live. She also led collaborations with external institutes for projects that explored if and how WFP's climate-related programming is mitigating conflict risk, informing country needs based on conflict and climate change related analysis. She also worked on feature generation and enhancement to improve predictive, generalization capability of the current machine learning model that fuels the HungerMap Live's predictions. Sejal has also worked with AW Europe as a Data Scientist, where she worked on the VIADUCT project. VIADUCT aims to develop a new multimodal, adaptive and speech-centric human-machine interface for driving semi-autonomous cars. She developed a multi-model identification system for driver identification and authentication system in a vehicle. She also developed a proof-of-concept for child presence detection feature in a vehicle and object detection feature in a vehicle using only camera-based approaches. Sejal's technical expertise includes AI, ML, Data Scientist, Research Scientist, Object detection, and Object Detection. She has a strong background in data analysis, predictive modeling, and machine learning algorithms. Sejal is a dedicated professional with a passion for solving complex problems using data-driven approaches. She is a valuable asset to any team and is always eager to learn and grow in her field.