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https://github.com/johnkou97/johnkou97


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README 

          
 Ioannis Koutalios 





  Astrophysicist | Data Scientist | Machine Learning Enthusiast






 

 

 






  Welcome to my GitHub profile! Here, you'll find a collection of my work in data science, artificial intelligence, and astrophysics, reflecting my passion for leveraging cutting-edge technology to solve complex problems.




About Me





  I am a graduate of the M.Sc. program in Astronomy and Data Science at Leiden University, with a B.Sc. in Physics from Aristotle University of Thessaloniki. Beyond academia, I am passionate about data science, machine and deep learning, reinforcement learning, and statistics. Many of my projects in these fields have been driven by curiosity and a desire to solve practical problems. I am always excited about open-source projects, collaborative learning, and applying AI to new challenges.




Publications





  Predicting binary neutron star postmerger spectra using artificial neural networks


  Dimitrios Pesios, Ioannis Koutalios, Dimitris Kugiumtzis, Nikolaos Stergioulas


  Physical Review D, Sep 2024


  DOI: 

    10.1103/PhysRevD.110.063008

  


  

    arXiv:2405.09468

  

  



Projects





  A selection of my repositories, showcasing work in data mining, machine learning, astrophysics, and more. Each project reflects my commitment to solving complex problems using cutting-edge tools and techniques.






  
🌟 Model-Free Reinforcement Learning for Sensorless Adaptive Optics


  


    

      AdaptiveOptics

    


    Reinforcement learning applied to optimize adaptive optics systems in the absence of sensor data.

  



  
🪐 Exoplanets and Exomoons


  


    

      Exomoons

    


    First Master Thesis project on detecting exomoons in exoplanetary systems using radial velocities.



  


🤖 Deep Learning


  


    

      DeepLearning

    


    Experiments with neural network architectures for various machine learning tasks. Also includes implementations of neural networks from scratch.

  



  
🛠 Data Mining


  


    

      PredictFutureSales

    


    Forecasts store sales in this Kaggle competition using machine learning algorithms like LightGBM and Random Forest.

  


  


    

      RecommenderSystem

    


    Multiple recommender systems in a challenge similar to the classic Netflix Prize.

  



  
🧮 Numerical Analysis


  


    

      NumericalRecipes

    


    Implementations of numerical algorithms from the course "Numerical Recipes" in Python.

  


  


    

      numerical-analysis

    


    Implementations of numerical algorithms from the course "Numerical Methods" in C and Mathematica.

  



  
🎄 Advent of Code


  


    

      AdventOfCode2024

    


    Solutions to the Advent of Code 2024 challenges, using Python.

  



  
🏆 Kaggle Challenges


  


    

      Titanic

    


    Survival prediction on the Titanic using classical machine learning techniques.

  


  


    

      Spaceship-Titanic

    


    Experimenting with "scikit-learn" on the futuristic Spaceship Titanic dataset.

  



  
🌌 Gravitational Wave Hackathons


  


    

      g2net_malta_hackaton

    


    Distinguishing earthquake signals from ambient noise using classical machine learning models.

  


  


    

      g2net_thessaloniki_hackaton

    


    Working with real gravitational wave data to characterize the Signal-to-Noise Ratio, using machine learning techniques, and carefully tuning hyperparameters.

  



  
🔭 Astronomical Projects


  


    

      Matched-filtering

    


    A tool for gravitational wave detection using matched-filtering algorithms.

  


  


    

      Stellar Evolution

    


    Simulating stellar life cycles and comparing the evolution of stars with different masses. The MESA code, written in Fortran, is used for this project.

  


  


    

      Exoplanet Project

    


    A project on planet evolution for different masses and compositions, using the MESA code.

  





Languages and Tools



  

    

      Languages, Frameworks and Tools (Expert)


       Python


       Jupyter


       Git


       Linux OS


       LaTeX


       VS Code

    

    

      Languages, Frameworks and Tools (Intermediate)


       SQL


       C/C++


      Mathematica


       Matlab


       HTML


       CSS

    

  

  

    

      Machine and Deep Learning


       PyTorch


       TensorFlow


       Keras


       Scikit-learn


      JAX

    

    

      Data Science


       Pandas


       Numpy


       Matplotlib


      Scipy


      Seaborn


      Nbodykit

    

  

  

    

      I.T. and Networking


       Bash


       SSH


       Anaconda


       Docker


         GitHub

    

    

      Soft Skills


      Problem Solving


      Critical Thinking


      Teamwork


      Communication


      Time Management


      Adaptability

    

  



Statistics



 






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