Data Science Portfolio

Click a project title below to explore key insights, visualizations, and analyses of real-world data projects.

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Inventory Management Optimization (Ongoing)

Forecasting retail inventory and optimizing stock using predictive analytics (ARIMA, SARIMAX, Linear Regression, Gradient Boosting) to identify demand drivers such as promotions and seasonality to reduce overstock and improve availability.

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NBA Game Stretch Analyzer

This project analyzes NBA schedules to identify dense stretches (e.g., back-to-backs, 4-in-6s), ranks their difficulty, examines patterns, and models their impact on performance.

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Predictive Modeling of Tennessee Energy Demand

Forecasted Tennessee electricity demand for 2025 using SARIMAX, ARIMA, and regression models, uncovering sector-specific consumption trends and achieving up to 97% forecast accuracy to support utility planning and energy efficiency.

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Sentiment Analysis of Customer Reviews

Analyzed Amazon product reviews using NLP techniques. Preprocessed review text, extracted features, and applied ML models to classify reviews as positive or negative. Evaluated performance and visualized insights about customer sentiment and product quality.

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Time Series Analysis of US Retail Sales

Forecasted monthly US retail sales (1992–2021) using an ARIMA model to predict post-COVID-19 trends. Identified pandemic-related dips and recovery patterns, providing insights for retail planning. Achieved an RMSE of $52,207.

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Empowering Mothers: Bridging the Gap to Professional Success

Visualized national data to examine the impact of childcare costs on mothers’ workforce participation. Highlighted gender disparities in earnings, unemployment, and job types. Provided recommendations for policy reforms and employer support programs.

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Hospital COVID-19 Relational Database

Designed and implemented a relational database using MySQL to manage COVID-19 data for hospitals, including a user interface for staff.

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Using Data to Improve MLB Attendance

Analyzed Los Angeles Dodgers 2022 game data to identify factors influencing attendance, such as promotions, weather, and day of the week. Applied EDA, correlation analysis, and linear regression to quantify the impact of giveaways (bobbleheads increased attendance by ~14,944 fans).

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Amazon FC - Employee Performance System

Implemented an Excel-based system with dashboards to highlight area performance. Achieved a 10% improvement in sorting efficiency, processing over 262,000 items per shift.

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Weather Lookup

Developed a Python program for weather lookup by zip code or city, utilizing the OpenWeatherMap API.

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TSA Complaints Analysis

Built a Power BI dashboard to track TSA Complaints in the US.

Concession Baseball Sales Dashboard

Built a Power BI dashboard to track sales and performance of concessions at baseball games, optimizing inventory and pricing strategies.

Store Sales Dashboard

Designed a Power BI sales dashboard to monitor KPIs, sales trends, and regional performance for effective decision-making.

US Mass Shootings Analysis

Utilized Excel and Tableau to uncover a 13% increase in US mass shootings during COVID-19.

Covid Case Tracker

Developed a Tableau dashboard visualizing COVID-19 cases, deaths, and testing data from sources like WHO and CDC.

Timely & Effective Care Across the US

Created a Tableau dashboard for CMS data to help patients choose the best hospital based on quality of care metrics.

Tennessee Home Values Dashboard

Built an interactive Tableau dashboard using Zillow data to track single-family home values in Tennessee. The dashboard highlights trends over time, county-level comparisons, and growth rates, allowing users to explore how values have shifted across the state. Interactive filters let viewers focus on specific counties and time periods for deeper analysis.

Open University Student GPA & Demographics Analysis

Analyzed data from Open University, identifying correlations between GPA and demographics using Tableau.