Hassaan Ahmed
Data Analyst — Financial, Business & Operations Analytics
PYTHON · R · SQL · CAUSAL INFERENCE
Career Highlights
cutting-edge solutions across fintech, social networking, and AI development
Shipped Raaz (iOS & Android)
Anonymous campus social app with 1,000+ active users across Pakistani colleges and schools; real-time engagement features.
Founder & Operator — Vision Wave AI
Ran an 8-week program with 57 interns; interviewed 100+ candidates and shipped 5 AI products from concept to deployment.
Data, Business & Financial Analyst
Turning messy data into decisions — from real estate ROI models to causal inference studies.
Pitch Winner — Alumio
Greek Life Fundraising Platform; won Denison University competition and secured $1,250 in funding.
Artist & Live Performer
200K+ streams on third single (#1 trending); planned, organized, and performed live events for audiences up to 3,000.
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About Me
I'm a results-driven analyst with experience spanning fintech, government infrastructure, social products, and conservation research. I build the SQL and Python pipelines that move data, the R and causal-inference methods — difference-in-differences, instrumental variables, hypothesis testing — that make the analysis defensible, and the Power BI and Tableau dashboards that put the answer in front of the person who has to act on it. I'm currently completing a B.A. in Data Analytics at Denison University, graduating May 2026.
Denison University
Granville, OH
B.A. in Data Analytics
Honors: Alumni Award
Relevant Coursework
Professional Experience
- •Cut issue-resolution tracking time by 40% across a $478M World Bank-financed infrastructure project by building a live operations dashboard with automated Node.js data feeds — field teams could spot supply gaps the moment they happened instead of waiting on weekly reports.
- •Eliminated manual weekly data-pulling for regional managers by wiring the pipeline directly into the dashboard, replacing stale exports with always-current numbers.
- •Presented findings directly to World Bank project leads and government ministers, framing each readout around recommended next actions rather than raw figures.
- •Grew retention 25% on Raaz, a 1,000+ user anonymous social app, by building behavioral pipelines that pinpointed exactly where users were churning.
- •Lifted user satisfaction to 95% on PreTern, an AI career platform used by 411+ students across 3 schools, by mining interaction logs to rebuild the coaching curriculum around what the data showed.
- •Built the core matching engine for Enroll AI, scoring colleges against student profiles using U.S. Dept. of Education data — solving for international students whose transcripts don't map cleanly to U.S. admissions standards.
- •Ran all three products in parallel, each with its own pipeline, KPI framework, and user base.
- •Saved the manatee rehab team roughly 6 hours of manual reporting per week by replacing static spreadsheets with live Power BI dashboards.
- •Cut data prep time across 4 research teams by building a shared Python/R pipeline that merged overlapping behavioral datasets into one clean format.
- •Built a data-backed case for reallocating the bank's real estate portfolio, showing ROI had dropped from 42% pre-COVID to 11% post-pandemic across 10 years of time-series data.
- •Cut the monthly reporting cycle from two days to overnight and improved forecast accuracy by 35% by automating Excel models with VBA.
Key Analytical Projects
Independent case studies in statistics, machine learning, and causal inference — code linked on GitHub
Skills & Methods
Certifications
Beyond the Work
Fraternity Leadership
Vice President & Recruitment Chair of Lambda Chi Alpha Fraternity at Denison University.
Music & Performance
Singer/Producer with 10,000 followers. Acapella performer specializing in bass & beatboxing.
Financial Markets
Passionate about investment analysis, market research, and financial technology innovation.
Languages
Fluent in English, Urdu, Hindi & Punjabi — useful on multinational, cross-border work.
Let's Talk
I'm open to data, business, financial, and operations analyst roles — and internships, and interesting problems in general. Email is the fastest way to reach me.