Arpita Shah

Arpita Shah is a Data Scientist at Munich Re with a strong background in statistical modeling, machine learning, and deep learning.

Arpita holds a Master's degree in Statistics from Columbia University, where she achieved a GPA of 3.73/4. She also studied Actuarial Science at the Institute of Actuaries of India and completed her Bachelor's degree in Statistics, Mathematics, and Economics from St. Xavier's College with a CGPA of 3.9/4, being the Statistics topper.

Throughout her career, Arpita has held various roles such as Graduate Trainee and Predictive Analytics Intern at Munich Re, Research Assistant at Columbia University, and Teaching Assistant at St. Xavier's College. She has also contributed as a Statistical Analyst at Sankhya Analytical Research Pvt. Ltd., Summer Intern at Spatial Access Pvt Ltd, and Analytics Trainer at FinStat.

Arpita Shah's expertise lies in data science, statistical modeling, machine learning, deep learning, actuarial science, and insurance. She is known for her strong academic background and practical experience across different organizations, making her a valuable asset in the field of data analytics and predictive modeling.