Insight-driven business analyst with a Master’s in Business Analytics and over 3 years of experience analyzing sales, behavioral, and survey data to drive strategic decisions. Proficient in Excel (VBA), SQL, R, Python, and Tableau for predictive modeling, KPI tracking, and dashboard development. Skilled at translating complex data into clear, actionable insights that enhance customer experience, and support cross-functional teams.
Technical skills
Core competencies
Capstone: Dropout Rate Prediction in Texas Counties | Python, PCA, Random Forest, R, Tableau
Built predictive models using PCA and Random Forest to analyze dropout trends across demographics and policies; achieved 92.6% R² accuracy. Delivered insights on CTE vs. Title I policy impact, guiding future interventions.
Sales Forecasting for Retailers Using AI | Prophet, Python, Tableau
Developed a time-series forecasting model to predict retail sales based on seasonal and external factors. Enabled improved inventory and procurement planning, reducing stockouts and excess ordering.
Water Consumption Forecast – Denton County | Excel, Python, Regression Models
Forecasted future water demand using regression and visualization tools to support local utility resource planning and efficient allocation.
EV Registration Trend Analysis (Washington) | Tableau, Government Data
Analyzed and visualized electric vehicle adoption patterns using state registration data. Identified regional trends and growth segments to support environmental planning and policy insight.