SQL, Python, Power BI, Streamlit, Excel, dashboarding, KPI reporting, healthcare analytics, and financial risk analytics.

• Build SQL and Python analytics workflows that turn raw data into clean, decision-ready datasets.
• Design BI dashboards, KPI reports, and executive summaries for healthcare, finance, operations, and product-style questions.
• Use statistical analysis, data cleaning, and stakeholder-focused storytelling to explain performance, risk, and opportunity.
• Create reproducible analytics projects with documented data sources, metric definitions, and refreshable pipelines.

Healthcare analytics case study using CMS HRRP and Hospital General Information data to identify 30-day readmission reduction opportunities.

Focus: healthcare analytics CMS data SQL Python Streamlit statistical analysis hospital benchmarking

Highlights

• Built a cleaned hospital-condition analytic dataset and SQL layer for national, condition, state, ownership, rating, and opportunity analysis.
• Developed an opportunity score using excess readmission performance and patient volume to prioritize intervention targets.
• Created a Streamlit dashboard with KPI cards, U.S. map, hospital benchmarking, business Q&A, and downloadable detail table.

Financial analytics dashboard and reproducible pipeline for assessing U.S. bank risk, profitability, funding pressure, and macro-rate sensitivity.

Focus: financial risk analytics FDIC data FRED data DuckDB SQL Python Streamlit KPI reporting

Highlights

• Built a peer-relative risk framework with credit, funding/liquidity, capital weakness, and profitability weakness components.
• Analyzed FDIC bank-quarter financials alongside macro-rate context from FRED.
• Created dashboard pages for executive overview, bank drilldown, risk/performance matrix, credit and funding risk, and macro impact.

Formula 1 analytics platform for race strategy, driver performance, telemetry-derived insights, and data visualization.

Focus: data visualization telemetry analytics race strategy driver comparison TypeScript Vercel

Highlights

• Analyzes 369K+ laps, 13K+ race results, and 48K+ stint records across 663 sessions.
• Turns Formula 1 data into driver, team, circuit, and performance insights.
• Includes a live analytics app for exploring race-week context and championship movement.

SQL workspace, visual query flow, schema selection, and database UI fixes.	Documentation fixes for DuckDB SQL behavior and configuration scope.
DuckDB store backend for durable local agent state.	Contributor-list update in an open-source onboarding project.