About

Arpita Jena is a highly skilled Senior Software Engineer with over 6 years of experience in the field of Machine Learning and Artificial Intelligence. Currently working at LinkedIn, she has a strong background in developing and deploying machine learning models for a variety of use cases. Arpita's expertise lies in developing and implementing models for product matching, quality scoring, and product type recommendation. At Walmart, she successfully implemented an XGBoost model that uses features from rule models, Siamese networks, and image hash to decide whether an incoming source matches with an existing product in the catalog. Additionally, she developed and deployed a quality scoring model that uses more sophisticated techniques to generate an overall description quality score. This resulted in a 27% increase in order and a 50% increase in page views. Arpita's experience also includes working on sensitive data classification at Capital One, where she identified sensitive tokens like email IDs, names, and addresses to prevent data loss. She built a production-grade LSTM classifier on the scraped data from the company's GitHub repos and web pages, which identified credit card and SSN numbers with 96% accuracy. Arpita has a Master's degree in Data Science from the University of San Francisco and a Master's degree in Mathematics and Computing from IIT Dhanbad. She also holds a Higher Secondary Education degree in Science from B.J.B. Junior College, BBSR, Khurda. Her technical skills include AI, Software Engineering, ML, XGBoost, Random Forest, NLP, and Python. Arpita is a dedicated and passionate professional who is always looking for new challenges to enhance her skills and knowledge. She is a team player and an excellent communicator who enjoys collaborating with others to achieve common goals.