Summary
Mayank Mishra is a Data Scientist with 9 years of experience building production-grade ML models and resilient data pipelines for fintech and enterprise SaaS, currently contributing to data-driven decision-making at JPMorgan Chase. He has driven measurable business impact at PayPal—improving auth rates, reducing refunds and network fines through probabilistic models—and built ML platforms and AutoML pipelines at Rakuten. His background spans end-to-end data engineering, predictive maintenance, NLP-driven compliance solutions, and orchestration with Airflow and Kubeflow, reflecting a pragmatic focus on simplicity and reliability. Mumbai-based and MTech-trained in Data Science from BITS Pilani, he blends strong academic foundations with hands-on delivery across high-stakes payment and legal-tech domains. An interesting through-line in his work is turning chaotic, transaction-level signals into concise operational rules that save costs and improve revenue.
9 years of coding experience
6 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
High School Mathematics, High School Mathematics at Gyan Deep Sr. Sec. Public School
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Jaipur National University
English, Hindi