Summary
Sharad Dargan is a Data Scientist based in New York with a decade of experience translating data into product and business impact for Fortune 500 companies. He combines strong applied ML and deep learning skills (Python, TensorFlow, PyTorch) with hands-on product analytics, regression and causal-style thinking, and production-ready SQL engineering. His background spans e-commerce and FMCG use cases—pricing, portfolio optimization, and revenue management—plus end-to-end NLP and CV pipelines built earlier in his career. A recent NYU CDS graduate and former teaching assistant in Big Data and Optimization, he pairs rigorous academic training (4.0 MS) with practical delivery from internships to full-time roles at Oracle and Flipkart. Outside work he’s an avid Formula 1 fan and long-form podcast listener, reflecting a curiosity for long-term narratives that informs his approach to complex data problems.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech, Information Technology, Bachelor of Technology - BTech, Information Technology at Maharaja Agrasen Institute Of Technology
Master of Science - MS, Data Science, 4.0, Master of Science - MS, Data Science, 4.0 at New York University
English