Chi Zhang, Ph.D is a data scientist at dotData, where she is responsible for a variety of analytics projects designed to identify and tackle business problems across multiple industries such as manufacturing & engineering, health care, financial services and telecom. Prior to joining dotData, she has worked with Gilead Sciences as a Machine Learning Researcher, focusing on disease diagnoses and medicine study. Chi earned a Ph.D in Biostatistics, and two master's degrees in Statistics and Economics from University of California, Berkeley.
A 2019 research report by VentureBeat showed that over 87% of data science projects never make it into production. While there are a number of reasons for this high failure rate, lack of resources is a key issue. In fact, a 2018 report by LinkedIn, showed a shortfall of over 150,000 people with Data Science skills in the US alone. Join dotData Data Scientist, Chi Zhang as she discusses the state of data science and its impact on AI and Machine Learning, and how automation can help organizations scale their data science practices - ranging from accelerating feature creation to optimizing machine learning models and pushing them into production.