Data Science Graduate Student | Former Data Analyst
Welcome to my portfolio!
👋 Hi, I'm Hannah!I am an M.S. Data Science Candidate transitioning 2.5 years of enterprise SQL/ETL expertise into advanced Machine Learning. My background in Econometrics provides unique rigor in Causal Inference and Statistical Modeling. Seeking Summer 2026 DS/ML opportunities.My Background:I spent 2.5 years at Exodus Recovery Inc where I automated reporting systems serving 4 counties, led system migrations, trained new analysts, and built dashboards supporting clinical decisions for 2,000+ clients. I improved data accuracy by 5% and reduced report generation time from 1 week to instant access.What I'm Learning:Python, Machine Learning, and advanced analytics through my UCSD master's program - expanding my strong SQL and Tableau foundation with cutting-edge data science techniques.What I'm Seeking:Summer 2026 data science internship opportunities where I can apply my proven analytics skills while continuing to grow my ML expertise.
Relevant Experience
Data Analyst II
Exodus Recovery Inc | Dec 2024 - Aug 2025 | Ladera Heights, CA- Automated 15+ custom reports and dashboards using Oracle SQL and Pentaho, reducing executive report generation time from 1 week to instant access across 4 counties
- Trained and onboarded 2 new analysts through hands-on SQL workshops, reducing onboarding time by 75%
- Led report reconstruction during system migration from Microsoft Access to cloud platform, coordinating across IT and multiple departments
- Managed cross-functional data request workflow, ensuring consistent on-time delivery---Data Analyst
Exodus Recovery Inc | Apr 2023 - Dec 2024 | Ladera Heights, CA- Increased data accuracy by 5% by automating audit processes using Oracle SQL
- Built Tableau dashboards analyzing admission data for 2,000+ clients to inform clinical decision-making
- Developed county-compliant reports by collaborating with stakeholders across 26 locations and 4 counties
- Created SQL queries for billing data compilation and auditing, facilitating timely reim
Multimodel Fraud Detection
Building Multimodal Fraud Detection model using Python and BigQuery AI
Housing Price Prediction
Predict housing prices using time series and regressions in R
Airline Cost Panel Data Model
Model airline costs and assess risk factors for a binary health outcome using causal nference and binary regression analysis.
"When you do what you love, you will never work a day in your life"
Marc Anthony