I'm really passionate about turning challenges into opportunities, especially when it comes to showing that tech can be fun and engaging for everyone. Drawing on my background as a fine artist, I found my niche in crafting visual stories from complex data. This blend allows me to transform complex data sets into engaging, easy-to-understand visual narratives, making data not just accessible but genuinely captivating.
Currently, I'm completing additional certifications in Machine Learning and AWS Architect Solutions while honing my skills in Python libraries like Pandas, Seaborn, and Matplotlib
Quick Links:
| Project Name | Tools Used | Summary |
|---|---|---|
| The Data of the Dragons | Python Pandas Pretty-Jupyter Scikit-learn Matplotlib Stable Diffusion 3.0 Excel |
This project analyzes the lineages, traits, and relationships of dragons from the Targaryen civil war, known as the Dance of the Dragons, in Fire & Blood and House of the Dragon. Using machine learning and genetic analysis, it maps family connections and predicts traits for dragons without detailed descriptions. The final output includes a family tree and original AI-generated images from a custom-trained Stable Diffusion 3.0 model. |
| Studio Ghibli Genre Popularity Analysis | Python Pandas Tableau Jupyter |
Conducted an in-depth analysis of Studio Ghibli films to determine which genres have been most popular and financially successful. Utilized comprehensive data examination and visualization to guide future film project and marketing strategies. |
| Twitch Streamer Analysis | Python Pandas Matplotlib Seaborn Jupyter |
Analyzed top Twitch streamers' data to uncover insights into viewer engagement and popularity factors. Focused on exploratory data analysis and visualizations to discern patterns in streamer performance metrics such as viewer counts, watch times, and followers gained. |
| The Hogwarts Bestiary | Python Pandas Jupyter Plotly BeautifulSoup Flourish GitHub Pages Excel |
Devised a custom algorithm to classify creatures from The Wizarding World into Hogwarts Houses, showcased through an immersive web-based bestiary with dynamic visualizations, interactive dashboards, and narrative exploration of creature traits - bridging the gap between raw data and an engaging narrative experience. |
| Data Warehousing with Oracle | MySQL Tableau |
Business intelligence operational analysis and data modeling to explore new markets. |
| City Happiness Index EDA | Python RegressionModels CorrelationAnalysis |
Conducted exploratory analysis into factors affecting urban well-being & satisfaction. |
| Mint Classics Inventory Optimization | MySQL PivotTables |
Conducted exploratory analysis into the reduction or reorganization of inventory in the Mint Classics storage facilities. Gave recommendations for inventory optimization and warehouse efficiency. |