AI problem solver | Supply chain optimization | Generative AI explorer | Data science leader | Creative thinker

I’m a lead data scientist at Beckman Coulter Life Sciences (Danaher Corporation), where I work on complex supply allocation and scheduling problems using metaheuristics and advanced mathematical models. I’m passionate about exploring how emerging technologies — especially generative AI — can reshape supply chain decision-making and industrial operations.

After 10+ years working across industries — from life sciences, manufacturing, and media to retail analytics — I’m driven to build AI-first solutions that tackle real-world challenges. What excites me most is applying AI and optimization techniques to practical problems that create measurable value, whether that’s improving supply efficiency, automating decision processes, or enabling smarter business strategies.

I’m exploring the entrepreneurial path because:
1. I believe my creativity and experience can power solutions that help businesses and people make better decisions with AI at the core.
2. I want to build something that reflects my values — honest, transparent, and impactful.
3. I’m energized by the idea of growing a product from the ground up and contributing to the AI startup ecosystem.

Before joining Danaher, I held data science roles at LTIMindtree (Fosfor), Bodmas Tech, Cargo Flash, and RSG Media — solving problems ranging from decision intelligence to promotion optimization, revenue management, and new product forecasting. My toolkit spans Python, R, SQL, Snowflake, FICO Xpress, cloud platforms (AWS, Azure), and more.