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busrayatlav/README.md

Hi there! 👋 I’m @busrayatlav 🚀

  • 👀 I’m into all things urban: mobility, sustainability, and making cities smarter (and maybe less stressful, too).
  • 🌱 Currently leveling up my data science game with some Python magic, GIS wizardry, and machine learning sorcery. 🧙‍♀️
  • 💞️ Let’s team up! Especially if it involves Mobility-as-a-Service (MaaS), traffic taming, or making urban mobility platforms shine. 🚦
  • 📫 Find me on LinkedIn or slide into my inbox at [email protected]. 📬

Feel free to drop by and say hi. Let's make the world (or at least its cities) a better place together!

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  1. Berlin-Traffic-K-Means-Clustering Berlin-Traffic-K-Means-Clustering Public

    K-Means clustering on Berlin traffic data to group traffic patterns.

    Jupyter Notebook

  2. Berlin-Traffic-Random-Forest Berlin-Traffic-Random-Forest Public

    Python implementation of a Random Forest Regressor for predicting traffic speed in Berlin using traffic density data with visualizations and model evaluation.

    Jupyter Notebook

  3. Istanbul-Metro-Passenger-Analysis Istanbul-Metro-Passenger-Analysis Public

    A project analyzing metro passenger data from Istanbul, sourced from the IBB Open Data Portal. Includes data cleaning, exploratory analysis, visualizations, and a predictive model for passenger cou…

    Jupyter Notebook

  4. OSM-Poi-Clustering-Cologne OSM-Poi-Clustering-Cologne Public

    A Python project for clustering and visualizing Points of Interest (POIs) in Cologne, Germany using OpenStreetMap data and K-means clustering. Includes data extraction, analysis, and visualization …

    Jupyter Notebook

  5. Pedestrian-Friendly-Cologne-SVM Pedestrian-Friendly-Cologne-SVM Public

    Analyzing pedestrian-friendly areas in Cologne, Germany, using OpenStreetMap data and Support Vector Machines (SVM). Visualizes pedestrian routes, decision boundaries, and feature importance.

    Jupyter Notebook

  6. traffic-detection-and-route-optimization traffic-detection-and-route-optimization Public

    Data-driven traffic detection and optimization project leveraging machine learning and real-time data integration to enhance urban mobility in Berlin.

    Jupyter Notebook