About

Arpita Sharma is an accomplished data scientist with around five years of experience in data-driven decision making across various industries, including fintech, retail, and pharmaceuticals. She has recently been working in the credit fraud analytics space at PayPal, where she is responsible for creating fraud detection and prevention strategies as part of the Global Fraud Risk team to decrease fraud losses. Arpita possesses a wide range of skills for data analysis, including Python, SQL, SAS, Statistics, and Machine Learning. She has experience leading a team of data analysts to provide technical guidance and business insights to stakeholders. Prior to joining PayPal, Arpita worked at Mu Sigma as a Data Scientist, where she designed personalized marketing emails based on customer's past preferences to increase engagement and drive revenue growth. She also worked as a Trainee Decision Scientist in the healthcare analytics domain for a global pharmaceutical company. Arpita completed her Bachelor of Technology in Computer Science from the National Institute of Technology Raipur in 2017. She also holds a Senior Secondary School degree from GVPS. Arpita's technical expertise includes Research Scientist, Data Scientist, Python, SQL, ML, test, Random Forest, and Backend. With 5.62 years of relevant experience, Arpita is a highly skilled data scientist who has a track record of delivering results in a fast-paced, data-driven environment.