Summary
Pranav Khiste is a Senior Data Scientist with six years' experience building production-grade ML systems, currently developing AI-driven fraud detection at TikTok USDS in New York. He combines deep learning, NLP, and causal inference expertise with MLOps skills (Docker, Kubernetes, Seldon, MLflow) to move models from research to scalable deployment in cloud and big-data environments. Prior work includes financial crime risk modeling and transaction monitoring at State Street and physics-informed forecasting using deep learning at Woods Hole Oceanographic Institution. Comfortable across Python, R, Java, Spark, and databases from PostgreSQL to HBase, he emphasizes explainability (SHAP) and feature engineering for high-stakes domains. Notably, his background bridges academic research in causal inference and practical fraud detection, enabling robust, auditable ML solutions for regulated enterprises.
6 years of coding experience
4 years of employment as a software developer
Master's degree Computer and Information Systems, Master's degree Computer and Information Systems at Northeastern University
Bachelor of Engineering Computer Engineering, Bachelor of Engineering Computer Engineering at Savitribai Phule Pune University
English, Marathi, Hindi