Summary
Anuj Katiyal is a Senior Data Scientist with 10 years of experience building end-to-end ML products that span NLP, vision, causal analysis, and A/B testing. He has taken systems from research and POC to production—most notably leading a social recommendation platform for 40+ Condé Nast brands that doubled traffic and saved over $1M in recurring costs. Comfortable across the stack, he engineers data pipelines in PySpark/Hive, models in Python with MLflow, and schedules workflows with Airflow while mentoring distributed teams. His background combines academic research in statistical machine learning applied to satellite imagery with industry roles at Twitter and TCS Research, giving him both experimental rigor and production discipline. Known for turning research prototypes into revenue-generating products, he seeks to lead teams building impactful AI/ML solutions.
10 years of coding experience
6 years of employment as a software developer
Master of Science (M.S.), Data Science, 4/4, Master of Science (M.S.), Data Science, 4/4 at Columbia University in the City of New York
Bachelor of Technology (Hons) + M.S. by Research, Computer Science, CGPA 8.34/10 (3.67/4), Bachelor of Technology (Hons) + M.S. by Research, Computer Science, CGPA 8.34/10 (3.67/4) at International Institute of Information Technology
English, Hindi, Punjabi