I'm a Data Analyst with 5+ years of experience applying analytics across healthcare, finance, and business operations. Skilled in SQL, Python, Power BI, and Excel, I specialize in transforming messy datasets into clear, actionable insights for decision-making and operational improvement.

My path into analytics is grounded in real-world execution — from supporting a $50M Medicaid billing project as a Business Analyst to launching a culinary business where I used data-driven forecasting to reduce waste by 20% and increase profit margins. This background helps me connect technical analysis with measurable business impact. I'm experienced in:

• Cleaning, transforming, and validating large datasets using SQL and Python
• Building dashboards and KPI reports in Power BI
• Performing trend, anomaly, and statistical analysis for stakeholders
• Using AI tools to streamline analysis, accelerate exploration, and improve workflow efficiency

I recently completed MIT Professional Education – Applied Data Science and am building skills in predictive analytics and machine learning through hands-on projects including fraud detection pipelines and computer vision models. My code and project write-ups are fully documented for reproducibility and business interpretation.

If you're looking for an analyst who combines technical depth with business understanding — and is actively growing toward advanced analytics — let's connect.