About
Data Science Leader and hands-on ML practitioner with experience across fintech, e-commerce, credit risk, fraud, ads, and investment domains. I lead high-performing teams while actively building scalable machine learning and GenAI systems that drive measurable business impact. Over the years, I’ve worked across fraud detection, credit risk, debt management, monetization, and e-commerce decisioning systems - partnering closely with product and engineering to translate complex business problems into robust, production-ready solutions. I enjoy working deeply with data - designing models, architecting pipelines, improving experimentation rigor, and turning insights into practical outcomes. My work spans classical ML, deep learning, NLP, and emerging GenAI applications. I’m passionate about building strong teams, fostering ownership, and creating systems that are not just accurate, but reliable, scalable, and business-aligned. Open to conversations around data science, ML architecture, and GenAI-driven innovation.
Work experience
Senior Data Science Manager at Navi, Jul 2026 - Present · 2 mos
Data Science Manager at Navi, May 2025 - Aug 2026 · 1 yr 4 mos, Bengaluru, Karnataka, India
Manager - Data & Applied Science at GoKwik, Dec 2023 - May 2025 · 1 yr 6 mos, Bengaluru, Karnataka, India
Lead Applied Scientist at GoKwik, Dec 2022 - Dec 2023 · 1 yr 1 mo
Senior Applied Scientist at GoKwik, Jul 2022 - Dec 2022 · 6 mos, Bengaluru, Karnataka, India
Mentor at Scaler, May 2021 - May 2025 · 4 yrs 1 mo
Data Scientist 2 at Gojek, May 2021 - Jul 2022 · 1 yr 3 mos, Bengaluru, Karnataka, India
Research Scientist at American Express, Feb 2020 - May 2021 · 1 yr 4 mos, Bangalore
Research Analyst - Machine Learning and Data Science Research at American Express, Jul 2018 - Jan 2020 · 1 yr 7 mos, Bengaluru, Karnataka, India
Education
Bachelor’s Degree, Chemical Engineering, Indian Institute of Technology, Delhi
Exchange Student, Chemical Engineering, Pohang University of Science and Technology
