Skip to content
Eeshan S.

About

Eeshan Srivastava

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.

Recognition & Leadership

Awards & Recognition

Experience

2019 — Present

Sr. Manager Data Science · Starbucks

Leading digital & marketing data science initiatives; building AI/ML products, running large-scale experiments and informing executive decisions

2016 — 2019

Manager of Data Analytics · Overstock.com

Lived in the depths of marketing & media measurement; incrementality / MMM / MTA / LTV; acquisition & growth analytics

Summer 2015

Sr. Product Manager - MBA Intern · Amazon

Product roadmap for Amazon Identity Services; designed authentication improvements for checkout experience

2013 — 2014

Automation Engineer · S&P Global

QA automation for native & web versions of financial software; and tons of Street Fighter

2010 — 2013

Lead Software Engineer · HCL Technologies

Full-stack software engineer; front-end web design, core Java architecture, server administration, QA automation & observability

Education

2024 — Present

Micromasters in Stats & Data Science · MIT / EdX

Pursuing graduate-level courses in Stats & Data Science from MIT in my personal time. (2/5 completed)

2014 — 2016

MBA · Case Western Reserve University

Transformational learning experience in business, leadership and organizational behavior; and a lifetime of friendships

2006 — 2010

Undergrad - Computer Science & Engineering · GGSIPU

Learning foundations of computer science, software architecture, algorithms, programming (C, C++, Java, Web) and lots of Linux

The Asymptotic Follow my updates on Substack
Subscribe