Here are a few of the data projects I’ve worked on:

Citi Bike Strategy Dashboard

Analyzed NYC bike usage and weather trends to identify availability gaps and optimize bike distribution across stations. Used geospatial mapping to highlight underperforming locations and propose operational improvements.

Tools Used: Python, Pandas, Plotly, Kepler.gl, Streamlit

View Interactive Dashboard

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World Happiness Report Analysis

Analyzed five years of global happiness data (2015–2019) to uncover which economic, health, and social factors most influence happiness levels worldwide. Used Python for wrangling, clustering, and correlation analysis; Tableau for geospatial dashboards and insight delivery.

Tools Used: Python, Pandas, Jupyter Notebook, Tableau, Excel

View Interactive Dashboard

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Instacart User Behavior Analysis

Analyzed 32M+ grocery orders to uncover trends in customer behavior and guide targeted marketing. Identified purchase patterns by day, hour, price sensitivity, income, and marital status. Delivered strategic recommendations to improve segmentation and timing of campaigns.

Tools Used: Python, Pandas, NumPy, Seaborn, Jupyter Notebook, Excel

View Final Report

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Influenza Season Staffing Plan

Analyzed influenza mortality trends across U.S. states using CDC and Census data to forecast seasonal staffing needs for hospitals and clinics. Built visualizations in Tableau to identify high-risk regions and inform medical staff distribution during peak flu months.

Tools Used: Excel, Tableau

View Final Tableau Dashboard

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Rockbuster Stealth LLC – SQL Case Study

Used SQL to help a classic video rental company transition to a digital model by analyzing rental patterns, top-performing films, and high-value customers. Delivered strategic insights using PostgreSQL queries, a custom data dictionary, and a full business presentation.

Tools Used: PostgreSQL, SQL Joins, CTEs, Subqueries, PDF Reports, PowerPoint

View SQL Workbook (Google Sheets)

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