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manuelsalamino/README.md

Hi there, nice to meet you 👋

I'm Manuel Salamino and I'm a Computer Science and Engineering Graduate at Politecnico di Milano. I just graduated with a Master Thesis about Anomaly Detection, called Anomaly Detection via Isolation Forest Embedding. My studies are focused on Machine Learning and Data Science since my Bachelor Degree. I had to thank the course of Artifical Intelligence for this because it allowed me to discover this beautiful field that was unknown to me.

🎓 Education:

  • Master of Science in Computer Science and Engineering at Politecnico di Milano
  • Bachelor of Science in Computer Engineering at Università Degli Studi di Firenze

🎯 Kaggle Competitions Repo:

📌 Projects:

📢 Contacts:

  • LinkedIn
  • manuelsalamino@gmail.com

👦 About me:

  • 🌱 I’m currently learning how to get prepared for a job interview
  • 🔭 I worked on Anomaly Detection field during my Master Thesis
  • 🎵 I listen a lot of music
  • 🏃 I do a lot of sport
  • 🍸 I worked as bartender in wedding and birthday parties during my Bachelor's and Master's Degree

Pinned

  1. Master-Thesis Master-Thesis Public

    Use Isolation Forest intermediate output to create an embedding and perform Anomaly Detection on a new data representation.

    Python

  2. Spotify_Top30_Analysis Spotify_Top30_Analysis Public

    Forked from StivenMetaj/Spotify_Top30_Analysis

    Visualize scraped data from Spotify and search for an interesting "storytelling".

    Jupyter Notebook

  3. RecSys_Competition RecSys_Competition Public

    Forked from MaurizioFD/RecSys_Course_AT_PoliMi

    Kaggle Competition of Recommender Systems Course at Politecnico di Milano.

    Python 1 1

  4. ANNDL_Competition ANNDL_Competition Public

    Kaggle Competition of Artificial Neural Networks and Deep Learning Course. Image Classification, Segmentation and Visual Question Answering

    Jupyter Notebook 3 2

  5. Data_Intelligence_App Data_Intelligence_App Public

    Forked from StivenMetaj/Data_Intelligence_Applications_Exam_Project

    Project for the "Data Intelligence Applications" course at Politecnico di Milano. Project topics: Social Influence and Pricing techniques applied to social networks.

    Python 1

  6. Distributed_Job_Scheduling Distributed_Job_Scheduling Public

    Infrastructure to manage jobs submitted to a cluster of Executors, managing Load Balancing and Fault Tolerance. Python Socket for communication.

    Python 3