Data Analyst with 5 years of experience in data modeling, statistical analysis, and data visualization to drive actionable insights and inform business decisions. Proficient in Python (Pandas, NumPy, Scikit-learn, Matplotlib, Folium, Seaborn), SQL (complex queries, window functions, indexing, optimization), and Advanced Excel for data manipulation and reporting. Proven track record of developing automated BI dashboards using Tableau, Looker, and Power BI, reducing manual reporting time by 90%. Successfully implemented machine learning techniques (clustering, classification, regression) to optimize provider-to-patient assignments, improving scheduling accuracy to 95%. Talented at collaborating with cross-functional teams, including finance, marketing, and engineering, to align on data-driven strategies and present insights to technical and non-technical stakeholders.