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negralessio/README.md

Hi there, I'm Alessio 👋

Welcome to my GitHub repository! Here you'll find a collection of projects and code snippets reflecting my journey through the realms of Machine Learning and Data Science. But before, let me tell you a bit about myself:

  • 🎓 I'm currently pursuing my M.Sc. in Information Systems at the Karlsruhe Institute of Technology (KIT)
  • 🎯 My specialization lies in Data Science and Machine Learning topics
  • 👨🏽‍💻 Throughout my studies, I already collected valuable work experience at companies such as SAP SE, BMW Group and Markant Group, where I've had the opportunity to apply my knowledge in practical settings
  • 🏆 Additionally, I've had the honor of winning several hackathons by leveraging Machine Learning techniques

Feel free to connect with me on LinkedIn!

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  1. biosignals-gen-ai biosignals-gen-ai Public

    Seminar work of generating synthetic BCI data (EEG data) using Variational Auto Encoders (VAEs) and analyzing the effect on EEGNet at the chair of Information & Market Engineering (IISM) @ KIT

    Jupyter Notebook 2

  2. data-science-lab-phase-1 data-science-lab-phase-1 Public

    Our project of the first phase of the Data Science Lab 2023. Goal was to develop a classification pipeline to predict earthquake damage. We won the internal course competition with an MCC test scor…

    Jupyter Notebook

  3. database-lab-2023 database-lab-2023 Public

    Submission for Exercise 03 of the Practical Course: Database Systems 2023 at KIT

    Python

  4. finetuned-trocr-codeimg2text finetuned-trocr-codeimg2text Public

    Mirrored Repo of our Seminar Work "Optical Character Recognition on Code Screenshots – Training a Transformer based OCR Engine"

    Jupyter Notebook

  5. kit-grade-analyzer kit-grade-analyzer Public

    Simple tool to analyze and compare the final grades of Karlsruhe Institute of Technology (KIT) graduates in a certain cohort using Streamlit + Plotly.

    Python 2

  6. bfh23-foodwaste bfh23-foodwaste Public

    Our solution to the Black Forest Hackathon 2023 food wasting challenge (#2) to reduce food wastes in local bakeries. We developed an ML Pipeline that takes products IDs and dates as input and outpu…

    Jupyter Notebook 1