I build data-driven dashboards and machine learning powered web applications that turn raw data into actionable insights. If you have data and need it visualized, analyzed, or modeled — I can build the full pipeline from data collection to interactive dashboard.
What's included:
- Data scraping and API integration (live data sources, government APIs, financial APIs)
- Data cleaning, preprocessing, and transformation with Pandas
- Machine learning model integration (regression, classification, forecasting)
- Interactive dashboards built with Streamlit or Gradio
- Multiple ML model comparison with performance metrics
- Real-time data updates and caching
- Export functionality (CSV, PDF, charts)
- Deployment-ready Python applications
I built the Strait of Hormuz Fuel Impact Analyzer — a Python + Streamlit + ML dashboard that pulls live data from the EIA API and models how geopolitical disruptions in one of the world's most critical oil chokepoints affect global fuel prices. The system runs 4 predictive models simultaneously and visualizes impact across multiple regions with interactive charts.
Ideal for researchers, businesses, analysts, and founders who need to make sense of complex data or want an intelligent dashboard that goes beyond basic charts.
Keywords: Python, Streamlit, machine learning, data analysis, Pandas, data visualization, dashboard, scikit-learn, EIA API, forecasting, regression, data pipeline, Gradio