Welcome to my corner of data-driven insights. Here, you'll find a curated showcase of my analytical projects, each telling a story of data transformed into actionable intelligence. Through popular programs like MySQL, Tableau, Python, and Excel, you can dive in to discover how I harness data to illuminate possibilities and forge paths to innovation and efficiency.
In 2024, I took 2,600,000 steps. I'm trying to add 200,000 to that in 2025! Using Tableau, explore my monthly progress with easy to read KPIs, visually appealing graph, and check to see whether or not I'm on pace to hit my goal!
Tornado season leaves areas wracked with severe thunderstorms. Explore this map of torandos to see what NW Georgia counties see the highest tornados, injuries, and deaths as a result of these twisters!
This Python project takes vegetable sales in weight and uses time series model, ARIMA, to forecast the next 6 months of sale weights. Check out this project to this model and the creation of a stakeholder-friendly visualization!
Below you will find more of my projects. I've notated each project with the respective program icon that the majority of the work was done in.
A popular children's fantasy series, Warrior Cats by Erin Hunter features a large cast of sentient cats that tackle the struggle of living in a forest environment. This project involved extracting over 40 PDFs, extensive data cleaning, and the creation of an interactive dashboard allowing detailed filtering and analysis.
From dirty dataset cleaning in MySQL to final visualization in Tableau, this Shark Attack project analyzes over 1000 shark attacks and provides insights into where, what species, and fatalities associated with each shark attack.
Employee Attrition is something companies are always trying to combat. Encoding, cleaning, and imputating are necessary steps before analysis. Wielding a trash-in trash-out philosophy, we take this dataset from filthy to squeaky clean in python.
A bike store project designed to give demographic information on the store's customer base.
Real coffee vending machine data is analyzed to shed insights into consumer behavior such as purchasing patterns and high traffic hours/weekdays for the vending machine.
Employee engagement surveys are great tools to discover insights about workplace strengths and weaknesses. 630 data analysts were surveyed about their thoughts in the field. Dive in to see those insights!
Breaking into the AirBnb market requires insights on area, number of bedrooms, and seasonal peaks in the area. Review this project to see the visualization of a 2016 Airbnb public listings in Washington state dataset that reveals several insights useful to those breaking into the market.
Dirty data can shroud business opportunities. In this project, I explored data cleaning techniques in MySQL on a layoff dataset. Handling null/blank values, duplicate data, and standardizing data across several attributes to prepare it for analysis.