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Satyambhardwaj19/README.md

Hi, I'm Satyam Bhardwaj 👋

MSc Computer Science · University of Liverpool · 2027

I learn fast and build things that work. Currently finishing my dissertation — a live UK train tracking web app built from scratch using Python, Flask, and real-time API data.

🚀 What I'm Working On

  • 🚆 TrainRadar — live UK train tracker with position estimation algorithm (MSc dissertation)
  • 🌐 Portfolio — satyambhardwaj19.github.io
  • 📚 Always learning something new

🛠️ Tech Stack

Languages & Frameworks

Python Flask JavaScript HTML5 CSS3

Data & Tools

Pandas NumPy Jupyter Git VS Code

📂 Featured Projects

Project What it does Stack
🚆 TrainRadar Live UK train tracker with position algorithm Python, Flask, JS, Leaflet.js
🗺️ Liverpool Walkability Street network connectivity analysis Python, OSMnx, NetworkX
🌍 Global Earthquakes Live earthquake visualisation via USGS API Python, GeoPandas, Folium
📊 Statistical Analysis Correlation, regression and data patterns Python, pandas, Matplotlib

📊 Activity

🗂️ 4 projects shipped and documented
🌐 1 live web application deployed
⚙️ 8+ tools and technologies used
📝 122 GitHub contributions since June 2025

🤝 Let's Connect

Portfolio LinkedIn

Open to graduate roles and interesting opportunities 🚀

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  1. TrainRadar TrainRadar Public

    A web application that displays live UK train locations on an interactive map. Built with Python, Flask, Leaflet.js and the Real Time Trains API. MSc dissertation project - University of Liverpool …

    HTML

  2. liverpool-walkability-analysis liverpool-walkability-analysis Public

    Python geospatial analysis project exploring Liverpool walkability and street network connectivity using OSMnx, GeoPandas, and Folium.

    Jupyter Notebook

  3. Global-Earthquakes-Visualisation Global-Earthquakes-Visualisation Public

    Python geospatial data project visualising global earthquake patterns using USGS API data, GeoPandas, Matplotlib, and Folium.

    Jupyter Notebook

  4. python-statistical-analysis python-statistical-analysis Public

    Python data analysis project covering data cleaning, descriptive statistics, correlation, and visualisation using pandas, NumPy, and Matplotlib.

    Jupyter Notebook