Summary
Pranjal Singh is a Staff Data Scientist with 11 years of experience applying ML, deep learning and Gen-AI across fintech, e-commerce, cybersecurity and ride-hailing to deliver production-scale models that drive measurable business impact. At udaan he has led cross-functional efforts spanning fraud prevention, forecasting, recommendations and LLM/GenAI tooling, combining hands-on modeling with product-facing deployment. His background includes building early fraud detection systems at Foodpanda and merchant credibility solutions at Visa that progressed to patent filing, and he has spoken at the re-Work Deep Learning Summit and holds a USPTO-granted patent. Trained at IIT Kanpur, he blends rigorous research instincts with pragmatic engineering—often translating unsupervised and optimization research into scalable pipelines. Outside work he writes technical blogs and travels, reflecting a curiosity that consistently surfaces in cross-domain problem framing and solutions.
11 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology Kanpur
Intermediate Physics Maths and Chemistry, Intermediate Physics Maths and Chemistry at Sunbeam English School Bhagwanpur Varanasi
English, Hindi, Sanskrit