I got into data because I liked finding things other people miss. Figuring out what comes
next, that's the part that hooks me. There's something satisfying about sitting with a messy dataset and
slowly pulling out the signal.
School
University of Illinois Urbana-Champaign
Major
Statistics - CS Minor
Expected Graduation
'28
Focus areas
Data Analytics and Visualization, ML, Data Storytelling
Clubs
Agentic AI, STATcom, SIGAIDA
Skills
Languages
Python SQL Java C++
Data & ML
Pandas Tableau RAG Pipelines PowerBI scikit-learn
Misc
Flask Streamlit LangGraph/LangChain Anthropic API
Experience
Fall 2026
Data ConsultantIncoming
UIUC
Tasked with hands-on analysis for three assigned research clients, culminating in a presentation at the Undergraduate Research Experience in Statistics Symposium.
Summer 2026
Data Analyst Intern
Ascenta Group
Working with donor data across nonprofit fundraising campaigns, which are datasets up
to 846K records, to find what's driving results across markets and demographics. Currently building
dashboards that go into client QBRs and at the moment building a Python validation system that catches
financial discrepancies across a 224-office reporting workbook before they reach finance.
Spring 2026
Data Analyst Intern
IDX Exchange
Cleaned and transformed 100K+ real estate transaction records across 26 months,
engineering metrics like price-per-sqft and days to contract. Built two Tableau workbooks with 8
dashboards, including one overlaying 30-year mortgage rates against median close price to show how rate
shifts move the market.
Summer 2025
Software Engineer Intern
Vibhu.VC
Built an AI-driven platform matching angel investors with startups. Contributed 1,000+
lines of code to a working prototype, including the compatibility scoring and recommendation features that
power the matches.
Summer 2025
Data Analyst Lead Intern
STEM-E
Analyzed 10,000+ social media data points across 4 platforms to identify engagement
trends, presenting monthly recommendations to cross-functional teams. Also coordinated a team of 15
interns to keep the analysis deliverables on time.
Projects
Live
CATSense
Built an AI diagnostic platform for Caterpillar equipment with integrated Gemini,
Claude, and OpenAI. Features include image inspection, audio anomaly detection, and sensor-based failure
probability and these are all tied to a machine registry that tracks inspection history per equipment PIN.
Built a multi-agent Fantasy Premier League optimizer using LangGraph and the
Anthropic API. Coordinated agents for squad selection, transfers, and captaincy. Includes a 7-node
reasoning workflow and a backtesting pipeline tested across 38 historical gameweeks.
Built a comprehensive full-stack application for collecting, analyzing, and
visualizing environmental data including air quality, weather, vegetation (NDVI), and transit information
for the University of Illinois at Urbana-Champaign campus.