Summary
Sarah Mallepalle is a Strategic Football Analyst with a decade of experience applying Carnegie Mellon–grade statistics and machine learning to player evaluation and team strategy. She has driven analytics at the Baltimore Ravens and now the Dallas Cowboys, translating advanced models and signal-processing research into actionable insights for personnel and coaching staffs. Her background includes applied ML internships and teaching at CMU, where she worked on speech emotion recognition, VAEs and LSTMs—skills she leverages to extract subtle patterns from game and player data. Trusted by senior NFL analytics and personnel leaders, she combines rigorous technical training with hands-on operational experience in high-pressure professional sports environments. Unusually for an analyst, she pairs academic research depth with direct R&D and backend engineering experience from finance and software roles, enabling end-to-end delivery of analytics solutions.
10 years of coding experience
1 year of employment as a software developer
The Peddie School, Red Bank Catholic High School
Bachelor of Science - BS, Statistics and Machine Learning, Computer Science, Bachelor of Science - BS, Statistics and Machine Learning, Computer Science at Carnegie Mellon University
English