About

Yidi Wang is a highly motivated and curious Data Scientist with over 7 years of relevant experience. Currently working as a Data Scientist at Meta, Yidi is passionate about finding patterns in data to deliver data-driven business strategies. She specializes in Data Flow Automation, Exploratory and Predictive Analytics, Experiment Design, Time Series Forecasting, and Natural Language Processing. Yidi has a solid background in big data technologies, database, statistical modeling, machine learning, and data visualization. She is skilled in mining structured and unstructured data to gain insights into customer behavior and what motivates it. Her strong logic, creative mind, and great attention to detail make her an excellent problem solver. She is also a great team player who can collaborate cross-functionally, prioritize schedules effectively, and work under pressure. Before joining Meta, Yidi worked as a Data Engineer at Meta and as an Analytics Manager at Carmichael Lynch. At Carmichael Lynch, she was responsible for A/B testing, conversion optimization, statistical modeling, and machine learning. She also developed real-time data pipelines, automated data workflows, and created data visualizations using tools such as SQL, Spark, Python, R, Tableau, Adobe/Google Analytics, AWS (Amazon Web Services), and Google Cloud Platform. Yidi holds a Master of Science degree in Business Analytics from the University of Minnesota - Carlson School of Management and a Bachelor's Degree in Business Administration and Management from Beijing University of Post and Telecommunications. She is skilled in Data Science, Research Science, NLP, ML, Big Data, Data Engineering, SQL, AWS, Spark, Python, and Web. Yidi's passion for finding patterns in data and delivering data-driven business strategies is what motivates her to excel in her field.