I'm a Data Science and AI leader with over a decade of experience building, deploying and scaling intelligent systems across Retail, Finance and Healthcare. I began my journey as an Astrophysicist with a Ph.D. in Astrophysics, and later transitioned into Applied Science, combining scientific rigor with business impact. Over the years, I’ve led cross functional teams and delivered production grade models that drive measurable results. from Customer Lifetime Value prediction and Demand Forecasting to Generative AI powered agents. My work includes leading Applied Science team at Amazon, driving ML and analytics innovation at Upshop (Invafresh) and currently managing Applied Science at Jungle Scout, where I design and deploy global scale AI systems. Earlier in my career, I built advanced analytics and machine learning solutions for GAP Inc and Roche in San Francisco, delivering predictive models that powered retail, finance and healthcare decision making. Beyond corporate roles, I’ve also mentored startup founders in developing their AI roadmaps, helping them translate business challenges into practical, high impact AI solutions. Recently, I’ve been focused on Generative AI applications, creating natural language interfaces for data systems and AI agentic based automations. As a mentor, I’m passionate about the following: - Helping professionals transition into AI and Data Science careers with clarity and confidence. - Build practical ML and Generative AI projects end to end. - Connect real business problems to AI solutions and mapping our the roadmap. - Navigate leadership and strategy in data driven organizations Whether you’re an aspiring data scientist, a product leader exploring AI or a founder looking to scale data impact, I’ll help you connect the dots between technical depth and business relevance and help in turning your AI vision into reality.