MS Marketing Analytics · Rutgers Business School · Open to Fall 2026 Internships

I'm
Rohan

I turn messy, real world data into decisions AI Agents can act on and decisions into products that people use.

5+
Live Projects
3
Live Dashboards
01 — Who I Am

aboutme.

I take messy, ambiguous data problems and turn them into insights that actually get used. I'm comfortable in SQL and Tableau, obsess over telling a clear story with data, and I'm always finding the balance between what the numbers say and what people actually need.

Currently a Master Student at Rutgers University, but before that I spent over a year as a Brand Sales Manager at Mygate ,one of India's leading community platforms, where I drove ad revenue by understanding exactly what brands needed and delivering it fast. That experience taught me to move quickly and think like the customer.

Now I'm applying that same thinking to analytics and product: building Interactive dashboards, AI-powered apps, and Automation workflows ,and working on shipping them.

View My Work → LinkedIn ↗ GitHub ↗
01 — What I Work With

skills &tools.

Data & Analytics
Visualization

Tableau · SQL(MySQL, SQL Server) · Power BI(Power Query) · Excel(VLOOKUP, Conditional Formating, Pivot Tables) · Excel · Data storytelling · Dashboard design · Data Visualization · Performance Analysis

Marketing
Analytics

Customer segmentation · Market research · CRM · Consumer insights · Campaign analytics· AI Marketing · A/B testing · Mailchimp

Sales & Strategy
Go-to-Market

B2B sales · Ad solutions · Stakeholder communication · Revenue generation · Brand partnerships · Salesforce CRM· HubSpot CRM

Productivity Tools
Essential Tools

Microsoft Office · Microsoft Powerpoint· Notion · Miro · LLM's

Product & AI
Building

Claude AI · Vibe coding · iOS app development · Ngrok · Prompt engineering· Convex.dev· Sendblue

Currently Learning
Growing

Deep learning · Neural networks · Data pipeline automation · Advanced SQL · Advance Machine learning · Workflows

02 — What I've Built

projectsshowcase.

Data Analytics · Sports Media
F1 × Drive to Survive
Shipped
Python OLS Regression VADER NLP Google Trends Nielsen

Quantified how Netflix's Drive to Survive reshaped U.S. Formula 1 fan demographics and viewership from 2017–2024. Built an OLS regression model across 96 monthly observations controlling for COVID, organic growth, and search interest. Code was AI-generated; the model design and interpretation were mine.

Role
Group Lead — data pipeline, regression modeling, sentiment analysis, visualization
Key Outputs
+312K viewership lift attributed to DTS era (p < 0.01, R² = 0.66)
Female fan share tripled 8% → 25% with r = 0.98 correlation
VADER sentiment analysis confirming traditional vs. new fan divergence
Method
Code written with AI assistance and run by me. The analytical decisions were mine — which controls to include, how to read the regression output, what the sentiment divergence actually meant.
View Analysis →
Marketplace Analytics · AI Agents
Amazon Category Intelligence
Shipped
Python pandas SerpAPI Claude Agent SDK matplotlib

Pulled 160 live Amazon listings across five search terms through a third-party API, built the normalization layer, and put a natural-language query agent on top — then spent as long testing where it breaks as building it. Code was AI-generated; I ran it, debugged it, and made every analytical call.

Role
Solo — API integration, data normalization, brand resolution, analysis, agent design, failure testing
Key Outputs
White-label sellers hold 31% of the category shelf — more than Shark and Bissell combined
Review volume predicts demand ~2× better than search rank (ρ = +0.56 vs −0.29)
9 of 72 products on "cordless" queries are corded; Shark fields only 3 true cordless stick vacuums
7 documented agent failures — including 2 errors in my own analysis the agent surfaced
Method
I don't write code from scratch — I direct AI to build it, then read, run and debug it myself. Here that meant catching two bugs in my own pipeline: a rank column I'd misread, and a category filter excluding Dyson for having short product titles.
View Repository →
Tool · AI · Automation
Resume Tailoring Workflow
Shipped
Google AI Automation NLP

A workflow using Google's Anti-Gravity tool to automatically tailor resumes to job descriptions — matching keywords, restructuring bullets, and surfacing the most relevant experience for each application.

Role
Designer — workflow architecture and prompt engineering
Impact
Reduced tailoring time from 45 min to under 5 min per application
03 — Shipped · Running Locally

RoscoAI.

iMessage AI Agent · Powered by Claude SDK

Rosco is a personal AI chief of staff that lives in my iMessage. It manages my emails, tracks internship opportunities, monitors my calendar, and sends daily briefings, all through a simple text conversation. Built on the Claude Agent SDK with persistent memory that learns my preferences over time. Code was AI-generated; I directed the build, debugged the pipeline when it broke, and made every product decision.

Role
Founder — product spec, UX design, AI-assisted development
Status
Shipped · Running locally
Built With
Claude AI · Claude Agent SDK · iOS · Persistent Memory
Method
I don't write code from scratch — I direct AI to build it, then read, run and debug it. Here that meant tracing a broken webhook between SendBlue and Convex, and fixing a memory layer that was corrupting mid-conversation.
View Build Log →
Rosco email summary
Rosco daily briefing
Rosco internship search
Rosco checking your inbox
Daily internship briefing
Book recommendations by Rosco
Meet Rosco AI
04 — Product in Development · App Store Launch Planned

floofapp.

AI-Powered Pet Health Tracking

Floof is a calm, gentle care tracking app for pet parents — built end-to-end using Claude as a vibe coding partner. It tracks sleep, feeding, activity, and bathroom habits, then surfaces AI-powered wellness insights in a personalized health score.

Role
Founder — product spec, UX design, AI-assisted development
Status
In development · App Store launch planned
Built With
Claude AI · Vibe coding · iOS · AI health scoring
View Build Log →
Splash Screen — Calm, gentle care tracking
Onboarding — Pet species selection
Personalized Plan — AI-generated care plan
Home Dashboard — Daily tracking overview
Routine View — Daily schedule tracking
Wellness Insights — Health score & trends
Splash Screen — Calm, gentle care tracking
Onboarding — Pet species selection
Personalized Plan — AI-generated care plan
Home Dashboard — Daily tracking overview
Routine View — Daily schedule tracking
Wellness Insights — Health score & trends
05 — Live Tableau Work

livedashboards.

The Perfect Brew

What separates exceptional coffee from average? An analysis of how species, altitude, processing method, and geography drive quality — and why the biggest producers aren't the best.

View Full Workbook →
The Speed Chronicles

An analysis of Olympic track race performance from 1960 to 2016 — tracking how medal times evolved, when records fell, and where the sport hit a ceiling. Explore any race event interactively.

View Full Workbook →
F1 2023 Season Analysis

Four interactive visualizations exploring the 2023 Formula 1 season — lap time distributions, tire degradation curves, top speed by team, and a driver consistency heatmap. Data pulled via the FastF1 API.

View Full Workbook →
06 — How I Work

myapproach.

Working through real problems teaches you more than any classroom. Here's how I think and operate.

✉ Let's Work Together ↓ Download Resume

Start with the Why

Before jumping to solutions, I obsess over the problem. Who's affected, what's broken, and why it matters, that's where good products are actually born.

Own the Ambiguity

Not having don't slow me down. I break fuzzy goals into sharp requirements, align stakeholders early, and keep the team moving even when the path isn't obvious yet.

Ship Fast, Learn Fast

I'd rather test a rough idea with real users than polish something in isolation. Test, Tweak, Repeat.

Let Data Challenge My Assumptions

Gut instinct gets you to a hypothesis. Data tells you if you're right. I treat every metric as a question worth asking.

Tradeoffs are the job

Every decision comes with its Tradeoffs. Scope, time, quality, you rarely get all three. I make those calls clearly, communicate them honestly, and stand by them.

Keep the Right Voicesin the Room.

The best outcomes come from having the right people around the table, aligned on goals, clear on priorities, and bought into the core of what's being built.

07 — Get In Touch

let'stalk.

I'm currently open to Summer 2026 internships in data analytics, product management, and growth. If you're working on something interesting, or have feedback on my work, I'd love to hear from you.

Email Me → LinkedIn ↗ GitHub ↗