Sanhita Sengupta
About Sanhita Sengupta
Sanhita Sengupta is a Data Scientist at Bristol Myers Squibb in Princeton, New Jersey, with a PhD in Statistics from the University of Minnesota. She has extensive experience in academia and industry, including roles at UnitedHealth Group and Allianz Life.
Current Position at Bristol Myers Squibb
Sanhita Sengupta currently holds the position of Data Scientist at Bristol Myers Squibb in Princeton, New Jersey, United States. She contributes to the company's efforts in the pharmaceutical sector by leveraging her extensive background in data science. Her work includes collaborating on machine learning applications in genomics and mentoring junior data scientists and statisticians through an internal program. Her role emphasizes the practical application of statistical methods to improve healthcare outcomes.
Educational Background in Statistics
Sanhita Sengupta has an extensive educational background in statistics and mathematics. She achieved her Doctor of Philosophy (PhD) in Statistics from the University of Minnesota, where she studied from 2016 to 2021. Prior to her PhD, she earned a Master's degree in Statistics from the Indian Statistical Institute, Kolkata, covering the years 2014 to 2016. Her foundational education includes a Bachelor's degree in Mathematics from the Indian Statistical Institute, completed from 2011 to 2014. Her academic training provided her with a robust foundation in statistical theory and its applications.
Professional Experience
Sanhita Sengupta has accumulated diverse professional experience in various roles related to data science and statistics. She worked as a Graduate Instructor at the University of Minnesota from 2019 to 2021 and as a Data Scientist at UnitedHealth Group in 2019 for two months, during which she developed a predictive model for patient readmission rates. Additionally, she held a Graduate Research Assistant position at the University of Minnesota in 2018 for four months and served as a Data Scientist at Allianz Life in 2018 also for two months. Prior to these roles, she was a Graduate Teaching Assistant at the University of Minnesota from 2016 to 2019.
Research and Publications
During her PhD studies at the University of Minnesota, Sanhita Sengupta published a research paper on statistical methods in healthcare, which was a significant contribution to the field. She also presented her research at the Joint Statistical Meetings (JSM) conference in 2020. Her research focuses on applying advanced statistical techniques to solve critical healthcare problems, demonstrating her expertise and dedication to the field of data science.
Awards and Mentorship Roles
Sanhita Sengupta has received recognition for her contributions to education and mentorship in data science. She was awarded the Best Graduate Instructor Award at the University of Minnesota in 2020, highlighting her effectiveness as an educator. Beyond her academic and professional duties, she volunteers her time as a mentor for the Women in Data Science (WiDS) initiative, where she supports the career development of women in the field of data science. Her commitment to mentorship reflects her dedication to fostering the next generation of data science professionals.