Aman Mathur

Aman Mathur is an experienced data scientist with a robust background in analytics and machine learning. At SnackNation, Aman developed an in-house member churn prediction tool using Stochastic Gradient Boosting, while at Mu Sigma Inc., Aman designed a call volume forecasting model that reduced prediction errors by 15% and implemented a customer grouping program that enhanced click-through rates by 20%. After serving as a Lead Data Analyst at Poshmark, Aman joined Meta as a Data Scientist in November 2024. Academically, Aman holds a Master's degree in Computer Science with a specialization in Data Science from the University of Southern California, a Bachelor of Technology in Computer Science and Engineering from SRM University, and has completed studies in Artificial Intelligence at Stanford Continuing Studies.