Shubhangi Agrawal is an accomplished professional in the field of data engineering and data science with a keen interest in healthcare and biotechnology. She is currently the Data Engineering and Data Science Lead at Genentech where she is responsible for executing projects across data science, data engineering, and core architecture in various domains within the healthcare and biotechnology supply chain. Her expertise lies in enabling digital transformation and building advanced analytics platforms that foster collaboration and data mining for personalized healthcare.

Agrawal has previously worked as a Data Analyst at Thermo Fisher Scientific and as an Analyst, Business Intelligence and Data Analytics at SCIEX (Danaher Corporation). Her background also includes working as a Software Lead at the University of California, Berkeley, and as a Business & Technology Delivery Team Lead at Accenture. She has also interned as a Research & Innovation Intern at L'Oréal and as an Undergraduate Research Assistant at the University of Pennsylvania Biology Department.

Agrawal has a Master of Engineering in Bioengineering from the University of California, Berkeley, and a Bachelor of Science in Bioengineering and Economics from the University of Pennsylvania. With a passion for the intersection of healthcare and technology, Agrawal is continually working towards leveraging AI/ML to analyze the complexities of biomedical and personalized healthcare data.