About
I'm Eeshan. I lead a data science team at Starbucks focused on AI/ML, personalization, and experimentation, including recommendation models powering the Starbucks app for 40M+ users.
12+ years across engineering, marketing analytics, modeling, and team leadership. CS undergrad, MBA. Not ex-FAANG. Not Ivy League. Just someone who likes making things work, learning by doing, and working with smart people.
I build data science apps on the side using AI. Each one teaches me something—about systems, about design & architecture, about data, about what real users actually do. I have the classic "learning by doing" archetype that gives me the most joy while still putting in the work. By building and sharing, I'm hoping to learn as well as teach. If you're interested in geeking out with me, then shoot me a message on LinkedIn.
In my free time, I enjoy running, painting, reading, and basketball.
Experience
Leading digital & marketing data science initiatives; building AI/ML products, running large-scale experiments and informing executive decisions
Lived in the depths of marketing & media measurement; incrementality / MMM / MTA / LTV; acquisition & growth analytics
Product roadmap for Amazon Identity Services; designed authentication improvements for checkout experience
QA automation for native & web versions of financial software; and tons of Street Fighter
Full-stack software engineer; front-end web design, core Java architecture, server administration, QA automation & observability
Education
Pursuing graduate-level courses in Stats & Data Science from MIT in my personal time. (2/5 completed)
Transformational learning experience in business, leadership and organizational behavior; and a lifetime of friendships
Learning foundations of computer science, software architecture, algorithms, programming (C, C++, Java, Web) and lots of Linux