Skip to content
View busrayatlav's full-sized avatar
11 followers · 7 following

Block or report busrayatlav

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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 busrayatlav@gmail.com. 📬

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

Pinned Loading

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

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

    Jupyter Notebook

  2. 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 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 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 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 Public

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

    Jupyter Notebook