Awards & Recognition
- 5 under 35 Award Weatherhead School of Management · 2024
I'm Eeshan. I currently lead a data science team at Starbucks focused on AI/ML, personalization, and experimentation.
Been in the field for 12+ years across engineering, data science, and technical leadership. CS undergrad, MBA. I don't have any ex-FAANG, or Ivy League credentials. Just someone who's passionate about putting technology to the right use, in the interest of the everyday person.
With the advent of LLM-assisted coding, I've been building projects that combine aspects of data science, AI, privacy and a bit of gamification to keep things fun. I'm not a hype-follower, so a lot of my content is about testing new technologies and seeing what remains after the hype cycle passes. Which is why I'm particularly passionate about AI on Your Own Machine - models that run on your own devices, with full data ownership and fine-tuned control over model behavior.
My hope is that each project and post is useful, and teaches you something.
All my work is open source and non-commercial. If you learn by building too, feel free to follow along on my substack.
In my free time, I enjoy kickboxing, painting, reading, and basketball. I am also a Ravenclaw.
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
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