Nikhil Bose

I love People, Product & Pale Ales

A bit about me

Hi! I’m Nikhil, a Computer Science & Cognitive Science: HCI student at UC San Diego.

Some of my interests include Human-Centered Design, Artificial intelligence and .

Last summer, I was a PM Intern on and shipped features focused on leveraging intelligence in calling scenarios. I was a PM intern on Teams the summer prior as well, working on a series of growth experiments to make users' workflows smarter and more efficient.

I'm an amateur wordsmith/futurist and like to disseminate my thoughts through . I've written about Product, Tech Strategy and Design.

In my spare-time, I enjoy traveling, playing soccer, and trying to make a perfect Beef Wellington.

Feel free to drop me a line, or connect with me on .

Some of the orgs I contribute to:

Product Space @ UCSD

I'm the President of Product Space @ UCSD - a professional development organizationed helping cultivate the next generation of product leaders. I founded the org born out of the necessity to support college student wanting to get into product-type roles. In 3 months, we've been able to scale quickly and have product leaders from the KP fellowship, Yahoo, Apple and beyond. If you're a UCSD student interest in product I'd love to hear from you!

Contrary Capital

I serve as a Venture Partner for Contrary a $35M University-focused venture captial fund.

As a VP, I help source deals for the firm and serve as an evangelist for on-campus entrepreneurship at UCSD.

Some of past work:

The Hypergrowth Podcast

We want to build a toolkit of mental models from some of the most influential thought leaders in the world.

Guests have included Don Norman, DJ Patil,
KPCPB's Andy Chen and Philz Coffee CEO Jacob Jaber.

UC San Diego

I was an Instructional Assistant for COGS 100 - Cyborg Theory for the Spring 2019

Rating Predictions using the Yelp Dataset

Using Matrix Factorization, Sentiment Analysis, LDA models and other Data Mining techniques to build a recommender system to predict review ratings on the Yelp Dataset.

NLP Analysis of Twitter Data

Quantification of public opinion, salient figures and sentiment in the aftermath of recent mass shootings.
I was responsible for the sentiment, colocation and salient figures/phrases analysis.

Tal, the right candidate finder
Tal is a machine learning powered tool to help recruiters. Using a MLP to help recruiters sort through noise to find the right candidates, based on their previous hiring decisions.
Holistic is a smart planner that helps you break down and achieve your goals by giving you recomendations when you need them.
Tritons Athletics App

Sports Data application covering all of UCSD NCAA Athletics