Economic Patterns
Track a few indicators, calculate rolling trends, and keep notes on what changes and why.
A simple research lab where I learn by doing.
I’m building small projects on topics I find interesting. The goal is hands-on practice: store and query data with SQL, analyze with Python, pull from APIs, and explain results clearly. This is how I’ll actually learn the tools—by using them.
Why this exists
Courses can help, but I learn faster by building. This site is my space to practice essential work: writing SQL, shaping data with pandas, calling APIs, and turning ideas into repeatable workflows. It’s not a resume; it’s an ongoing record of what I’m learning through real projects.
Clear scope, small steps, shipped often.
Focus
- Practical SQL and joins
- Data cleaning and viz
- ETL and simple automation
- APIs and small models
- Short write-ups with limits
Project slots
Placeholders for now. I’ll link live demos as I build.
Social Sentiment
Collect topic snippets, score polarity, compare baselines over time, and visualize shifts.
Environmental Signals
Daily temperature and precipitation trends with smoothing and simple anomaly checks.
Truthiness Heuristics
Store article snippets and test simple keyword/consistency rules to flag claims.
Now / Next
- Set up a small SQLite database and seed sample tables.
- Build a Streamlit page that reads from the DB and renders a basic chart.
- Add a daily script to refresh data and commit results.
- Write short notes explaining assumptions and limitations.
Contact
Have a dataset or idea?
This site is intentionally minimal. The value is the work.