Work

A selection of projects, products, and explorations — across product design, PM, analytics, AI strategy, and research.

2025

Product Designer

Axis

Class Project, University of Michigan

Designed an end-to-end academic management tool for students overwhelmed by fragmented tooling. Moved from low-fidelity sketches through a full Figma prototype, with each iteration driven by a single question: what does a student need to know right now? Cut information density significantly between V1 and final — the result was a cleaner, faster interface.

View case study→Prototype

2025

Product Designer

SideQuest

Product DesignUXFigma

Class Project, University of Michigan

Designed a location-aware side activity discovery app, from initial sketches through a full Figma prototype. The core design challenge: reduce the effort required to go from 'I want to do something' to 'I'm doing it.' Every design decision was evaluated against that bar — does this make it faster to start, or slower?

View case study→Prototype

2024–present

Product Manager

TenantBridge

Product ManagementUser ResearchFigma

MProduct, University of Michigan

Leading a 3-person team through the full product lifecycle for TenantBridge within MProduct. Conducted 20+ user interviews to identify unmet needs, synthesized findings into MVP scope and prioritized tradeoffs, and created high-fidelity Figma mockups and a pitch deck to guide the roadmap.

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2025

Product Analyst Intern

Verve — Product Analyst Intern

AnalyticsSQLTableauBigQuery

Verve

Built and launched a Tableau Health Dashboard tracking CTR, eCPM, win rate, margin, and 6+ other KPIs across millions of daily ad auctions. Developed automated SQL + Python pipelines in BigQuery to monitor revenue trends, and collaborated with PMs and engineers to translate auction dynamics into product requirements.

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2025

AI & Data Science Intern

Jade Global — AI Data Readiness Checker

AI ProductSnowflakePython

Jade Global

Defined and scoped the AI Data Readiness Checker, translating 14 data quality dimensions into product features for enterprise datasets. Built Snowflake-integrated Python pipelines to profile 100+ large-scale tables, reducing manual QA effort ~30%. Presented to senior leadership, securing support to ship it as a client-facing product.

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2023–2024

Professor Assistant — Data Scientist

NIMHANS — Catatonia Outcome Prediction

Machine LearningHealthcarePython

NIMHANS, Bengaluru

Collaborated with clinicians to analyze 450+ patient records and build an ML pipeline for catatonia outcome prediction. Benchmarked Random Forest, Logistic Regression, and SVC models, achieving 75% accuracy. Identified 15 key clinical features and presented findings via ROC curves and confusion matrices to non-technical stakeholders.

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