Results-driven Business and Data Analyst with a proven ability to drive strategic decision-making through data-driven insights, predictive modeling, and interactive dashboard development. Skilled in Python, SQL, Power BI, Tableau, and Agile (Scrum)methodologies, with hands-on experience in requirements gathering (BRD, FRD, TRD), UAT coordination, and postdeployment validation. Possesses a strong academic foundation in machine learning, data visualization, and ETL processes. Recognized for delivering impactful solutions that enhance operational efficiency and enable accurate forecasting.
Interactive Dashboard - Arc Dance Studio, Built a real-time dashboard using Python (Pandas, Plotly, Streamlit), SQL, and HTML web scraping. Improved task velocity by 20% using JIRA for agile sprint management.
Real Estate Price Prediction
Created ML models using Python and SQL to predict housing prices with 89% accuracy. Applied regression, XGBoost, and data visualization using Visual Studio. Connecticut Real Estate Investment Analysis, Analyzed 20+ years of housing data using Power BI and Excel. Built regression-based ROI forecasts and property-level dashboards.
Ticket Demand Analysis Cinemark
Designed interactive Power BI dashboard analyzing ticket demand by weekday/showtime. Enabled dynamic pricing strategies and improved scheduling decisions.
Python, R, SQL, Excel, Power BI, Tableau, Jupyter, Visual Studio, SSIS, MySQL, Azure, Jira, Confluence, SQL Server, MySQL, SSIS, Data Warehousing, Data Mapping, Data Flow Diagrams, Regression, Time Series, Forecasting, EDA, ROI Modeling, Tracking, Predictive Modeling, SOW, BRD, FRD, UAT Coordination, Stakeholder Engagement, Agile (Scrum), User Stories, Database Systems, Advanced Analytics, Machine Learning, Data Visualization, ETL, Python for Data Science, CS50 (Harvard), Google Data Analytics, Azure Data Fundamentals, Databricks - Lakehouse & Gen AI