Jing Yang is a Senior Data Scientist from Eversource Energy focusing in applying advanced analytics and machine learning to solve complex problem in utility industry. She holds a Master’s degree in Electrical Engineering from University of Connecticut and has strong background in statistical modeling, deep learning, and time series data processing. Throughout her career, Jing has led impactful research initiatives focused on time series anomaly detection, contributing to advancements in utility. She has a proven track record of developing innovative data-driven solutions and translating research findings into actionable insights.