About

Rakhi Agrawal is a seasoned Data Scientist with over 13 years of experience in research, development, deployment, and delivery of predictive models for the retail, banking, and travel industries. She is currently serving as Senior Manager of Data Science at GoTo Group, leading the growth vertical of GoPay Data Science team. Her focus is on user spend, improving user experience, working in the demand generation and personalization space for food and mobility services. Rakhi is proficient in supervised modeling techniques such as regression, scorecard, decision trees, random forest, gradient boosting, learning to rank, and XGBoost. She is also familiar with unsupervised techniques such as clustering, network analysis, market basket analysis, time series analysis, collaborative filtering techniques, matrix factorization (ALS, SVD), and text mining (LDA, Word2Vec, Doc2Vec, Node2Vec, NER). Her skill set includes Python, R, SQL, Hive, Redshift, BigQuery, Spark, AWS, GCP, Shell scripting, C, C++, Groovy, and Java. Prior to her current role, Rakhi has held leadership positions at MakeMyTrip and FICO. At MakeMyTrip, she served as Senior Principal Data Scientist and Principal Data Scientist, leading various projects such as personalized hotel ranking, hotel clustering, search engine marketing optimizer, search query modeling, and more. She also managed part of the hotel content team for a year, bridging the gap between Data Science and Technology teams for the implementation and deployment of analytic solutions. Rakhi holds a Master of Technology (M.Tech.) in Computer Science & Engineering from the Indian Institute of Technology, Bombay, and a Bachelor of Technology (B.Tech.) in Computer Engineering from G. B. Pant University of Agriculture & Technology. She also has a background in research and holds a degree from JNU. Overall, Rakhi is a highly skilled and experienced Data Scientist with a strong track record of delivering impactful solutions for various industries.