I’m Salik, and this space is where I explore ideas that interest me — data, society, cities, politics, sports, and the ways quantitative patterns reveal deeper stories about the world. I enjoy using data not just to model or forecast, but to tell stories that make complex systems easier to understand.
My interests aren’t limited to a single domain, and my projects tend to reflect that. Some are focused on political behavior or demographic patterns. Others look at housing, transportation, or sports analytics. I like working on questions that require careful reasoning, clean pipelines, and a mix of analytical and narrative thinking.
- Statistical modeling
- Simulation and forecasting
- Data cleaning and transformation
- Geospatial analysis
- Exploratory analysis and visualization
- Data storytelling and communication
- American politics and voter behavior
- Urban development, housing, and transportation
- Demographics and long-term social change
- Sports analytics
- Economics, incentives, and systems thinking
- Python (Pandas, NumPy, scikit-learn, GeoPandas)
- R
- SQL
- GIS tools (Folium, ArcGIS)
- Selenium / BeautifulSoup for scraping
- Matplotlib / seaborn for visualization
I gravitate toward projects where the data isn’t perfectly clean, the questions are open-ended, and the answers require thoughtful interpretation. I like to:
- Build analytical pipelines that integrate multiple datasets
- Create structure from uncertainty or ambiguity
- Use statistics to understand real-world behavior
- Pair technical findings with narrative explanations
This GitHub contains a mix of exploratory notebooks, modeling experiments, geospatial work, and long-form data investigations. Some projects are polished; others are ongoing. All reflect areas I’m actively learning about and refining.
If anything here sparks an idea or you want to discuss a dataset, method, or topic, feel free to reach out.