Summary
Parul Madaan is a machine learning engineer with 11 years of experience and a strong track record of translating statistical rigor into production ML systems, currently building scalable models at Meta after leadership roles at PayPal. With a Master’s in Statistics from UC Berkeley and a background in information technology, she combines applied statistics, end-to-end ML pipeline design, and hands-on deployment experience across Python, R, Java and enterprise frameworks. At Pitney Bowes she delivered models that saved the business over $6M annually, owning solutions for product classification, fraud and anomaly detection in shipping and tracking. She excels at bridging technical complexity and stakeholder needs, having taught undergraduate statistics and calculus at Berkeley and communicated results to diverse teams. Parul’s career shows a pattern of advancing from internships to senior engineering roles while keeping a practical, impact-focused mindset. Based in San Jose, she stays committed to continuous learning and bringing measurable business value from data.
11 years of coding experience
8 years of employment as a software developer
Master's degree Statistics, Master's degree Statistics at University of California, Berkeley
University of Delhi
All India Senior School Certificate Examination (12th), All India Senior School Certificate Examination (12th) at Central Board of Secondary Education
English, Hindi