I’m a Data Scientist with 5+ years of cross-functional experience spanning healthcare, finance, and business operations. Skilled in Python, R, SQL, and Power BI, I specialize in developing machine learning models, building interactive dashboards, and translating complex data into strategic business insights.

My path into data science is grounded in business execution — from managing a $50M Medicaid billing analytics project as a Business Analyst to founding and running a culinary business where I applied data-driven forecasting to reduce waste by 20% and increase profit margins. This blend of technical skills and business acumen allows me to deliver solutions that are both innovative and practical.

I’m particularly passionate about:

• Designing and optimizing machine learning models
• Building cloud-ready data applications
• Creating visualizations and dashboards that drive decisions
• Applying responsible Generative AI for efficiency and transparency

Having completed MIT Professional Education’s Applied Data Science program, along with certifications from Google and Microsoft, I bring both technical precision and business context to every project.

Let's connect and explore how we can leverage data science to solve interesting challenges!

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