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kilickursat/README.md

👋 Hi there, I'm Kürşat Kılıç

🚀 AI Researcher | TBM (Tunnel Boring Machine) Enthusiast | Data-Driven Engineering

👀 About Me

  • 🎯 Passionate about applying artificial intelligence to tunnel boring machine (TBM) applications.
  • 🔬 Exploring how machine learning can enhance cutter wear prediction and lithology identification.
  • 🌱 Currently implementing supervised and unsupervised learning models for TBM performance optimization.
  • 🤝 Looking to collaborate on innovative research in autonomous TBM advancement and AI-driven geomechanics.

🔧 Tech & Research Stack

  • Programming & Data: Python, MATLAB, SQL
  • Machine Learning: scikit-learn, TensorFlow, PyTorch
  • Data Science: Pandas, NumPy, Matplotlib, Seaborn
  • Domain Knowledge: TBM mechanics, rock cutting processes, geotechnical engineering

📫 Let’s Connect

⭐ "Bridging the gap between geotechnical engineering and artificial intelligence for smarter, safer tunneling."

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  1. 30days 30days Public

    Forked from streamlit/30days

    #30DaysOfStreamlit is a 30-day social challenge for you to build and deploy Streamlit apps.

    Python

  2. Accelerometer-Data-Exploration Accelerometer-Data-Exploration Public

    Exploratory analysis of Apple watch and accelerometry data; including the evaluation of a Physical activity intervention using the boris bike trips data in R.

  3. Clustering-guided-LightGBM Clustering-guided-LightGBM Public

    Soft ground tunnel lithology classification using clustering-guided light gradient boosting machine

    Jupyter Notebook

  4. Data-Science--Cheat-Sheet Data-Science--Cheat-Sheet Public

    Forked from faaltunel/Data-Science--Cheat-Sheet

    Cheat Sheets

    TeX

  5. Exploratory_Data_Analysis_using_Python_Library Exploratory_Data_Analysis_using_Python_Library Public

    Forked from amitjain2110/Exploratory_Data_Analysis_using_Python_Library

    Libaries : dtale , pandas_profiling , sweetviz, pandas_visual_analysis

    Jupyter Notebook

  6. lithology-classifier lithology-classifier Public

    Python