Data Analytics · Business & Product Analytics · Applied Data Science
I'm pursuing an M.S. in Data Analytics & Computational Social Science at UMass Amherst, graduating in May 2027. My work spans analytics, research, product development, and behavioral data using Python, SQL, R, Power BI, and statistical methods.
About me
My background combines data analytics, psychology, computer science and business. I started in psychology because I wanted to understand why people make the choices they do, then built the quantitative skills to study it: a postgraduate diploma in data science and business analytics at UT Austin, and now an M.S. in Data Analytics and Computational Social Science at UMass Amherst. My experience spans data analysis, business and digital strategy, behavioral analysis and product development.
Stage 01 · Observe
My first data work was behavioral. I recorded prompts and responses during Applied Behavior Analysis sessions under clinical supervision and HIPAA. It showed me that data depends on how and where it was collected, which I check at the start of every project.
Experience
Analytics and digital strategy consulting, behavioral data work in a clinical setting, a data analytics internship in Qatar, and product management for a medical device capstone. The industries differ, but the work is the same: find the pattern in the data, then turn it into something people can use.
What I’ve built
Every project here has a public repository, so you can read the code, run it and check the numbers yourself. The graphic on each card is drawn from the method the project used, so it’s an illustration, not a result. The real numbers are in each write-up.
25,886posts and comments analyzed
I collected about 26,000 posts and comments from three mental health subreddits, then compared how three sentiment tools and three classifiers read them. The code and data are all in the repo.
519safety documents from 10 universities
Every university publishes its crime alerts differently, so I wrote a scraper for each of ten schools and combined the results into one dataset you can compare across campuses.
24years of Billboard charts
An interactive scroll-through of how the Billboard Hot 100 changed over 24 years, built from chart data joined to Spotify audio features, using D3 and Three.js.
0.82ssearch time per move
A game-playing agent for misere Nim, where whoever takes the last stick loses. It searches ahead with minimax and alpha-beta pruning and always answers within the one-second move limit.
Skills
On GitHub
This is everything public on @rishav-dev, including coursework, not just the highlights. The bigger projects have write-ups here, and the rest you can just read.
Co-founder · Venture studio
Seven ventures, from concept to prototype, and three pitch prizes, built with my co-founder Kinjal Pandey.
Kinnovation Group is what Kinjal Pandey and I work on outside our jobs and classes. We're not an incubator or a consultancy. None of the ventures below is a launched product: each is labeled as a concept, a prototype or in development. The three pitch prizes were all won together.
An in-kind donation platform in development.
Karnah is an in-kind donation platform in development. Planned features include AI-based checks of an item's condition and fair market value from photos, matching items with charities that need them, and an audit-ready tax receipt for donors. The goal is to reduce donations that charities cannot use.
$750, second place at UPitch Spring 2026
A scheduling app in development that adapts to changes in your day.
CalendAI is a calendar app in development that aims to schedule based on behavioral modeling instead of fixed rules. I worked on it as a behavioral data analyst, on predictive modeling and A/B testing of prototype calendar features using AWS, MongoDB, Node and React.
$500, Apex Center for Entrepreneurs
A planned platform for finding which therapies worked for children with similar symptoms.
MeAsmi is a machine learning platform for neurodivergent support that is still in development. I co-led the interdisciplinary team exploring clustering and supervised methods to identify which therapies worked for children with similar symptoms. It is a planned product and has not been released.
A smart medication dispenser in development.
ProDose is a smart medication dispensing system in development, designed to automate scheduled dispensing of tablets and capsules. I'm the product manager, working with a five-person UMass Amherst senior capstone team on the physical design, CAD and 3D-printed prototypes. The site has a design lab that simulates eight dispensing concepts, which you can try.
$1,550in prize money across two universities, all won with Kinjal Pandey. We pitch together every time.
UMass Amherst Entrepreneurship Club
Sponsored by the Berthiaume Center for Entrepreneurship
Berthiaume Center for Entrepreneurship
Isenberg School of Management
Apex Center for Entrepreneurs
Pamplin College of Business
Recognition & programs
LISC Massachusetts and the IXL Center · 2025
Awarded for leading the digital upgrades through the LISC Digital Growth Accelerator.
Franklin County CDC · 2026
Selected for the Spring 2026 cohort (March to May 2026), a program of entrepreneurial training, mentorship and feedback for early-stage ventures.
Certification
Education
M.S. · Data Analytics & Computational Social Science
A program that combines data analytics with social science methods, including network analysis, experimental design and causal inference.
Relevant coursework
Postgraduate Diploma · Data Science & Business Analytics
An applied data science and business analytics program, completed while finishing at Virginia Tech.
Relevant coursework
B.S. · Psychology, Minor in Computer Science
A psychology degree with a computer science minor.
Relevant coursework