I believe better decisions start with better data. That's why I enjoy asking questions, building datasets, and discovering patterns that aren't immediately obvious.
The projects in this portfolio combine traditional data analysis with modern AI tools. My goal isn't to let AI do the work—it's to understand where AI adds value and where human judgment remains essential.
I've found AI to be an excellent analytical partner. It helps refine ideas, recommend methods, identify missing data, and improve dashboard design. But AI cannot replace critical thinking, validate data quality, or determine whether conclusions make business sense. Those responsibilities still belong to the analyst.
My background includes Google's Data Analytics Professional Certificate and AI for Data Analysis, with experience using Excel, SQL, Tableau, and Python. These projects document my ongoing journey to become a stronger analyst while learning how AI can be used responsibly and effectively.
What actually makes a car fast? And, what would it take for an Accord to match Mustang?
Dataset is generative AI-assisted and infographic dashboard, Excel analysis
What actually makes an NES game valuable to Retro Game Collectors?
Generative AI assisted with partial analysis, manual dataset, Excel analysis
What Physical Characteristics Are Associated with Different Types of Success in the NBA?
Generative AI assisted with partial analysis, manual dataset, Excel analysis
Is the growing use of AI diminishing the value of human-created art or enhancing it?
Start-to-finish data analysis project, no generative AI.
Existing IPs vs. Original: Are movie studios playing it safe?
Data analysis project using generative AI only to create a dashboard infographic for storytelling.
Pickup Trucks, Highway Behavior, and Why They Feel More Aggressive Today
A project using only generative AI, lessons learned.