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Achievement: Pull Shark

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EmanueleFittipaldi/README.md

Hi 👋, I'm Emanuele Fittipaldi

Connect with me:

emanuele-fittipaldi-0b2119212 emanuelelavoro@hotmail.it emanuele.fittipaldi emanuele_fittipaldi emanuelefittipaldi

Education:

  • 📕 M.Sc. in Computer Science (Anticipated graduation date: October 2023): Specialization in Cybersecurity from Università degli Studi di Salerno, Fisciano(SA), Italy.
  • 📕 B.Sc. in Computer Science (October 2021): Università degli Studi di Salerno, Fisciano(SA), Italy.
    • GPA:3.56
    • final grade 108/110

Experience:

B.Sc. Internship at Jheronimus Academy of Data Science (February 2021 - May 2021) Eindhoven, NL:
  • Completed thesis work and gained hands-on experience in data science.

Projects highlights

Micro/Macro-Expressions Analysis through Landmark Analysis (April 2022 - June 2022)

  • Worked in a team of three to design and implement an AI pipeline for detecting micro-expressions with nearly 70% accuracy using landmark analysis of facial features.
  • Analyzed the similarities among different emotions using landmark analysis.
  • Produced a formal paper on this novel approach.
  • Technologies used: Python, OpenCV, NumPy, Pandas, MediaPipe, LaTeX.

Topic Modelling on Dark Websites (B.Sc. Thesis Work, February 2021 - October 2021)

  • Designed and implemented an AI pipeline using Latent Dirichlet Allocation (LDA) to extract latent topics from text scraped from the Dark Web, improving the performance of LDA by 15% using genetic algorithms.
  • Collaborated with PhDs, researchers, and professors from Jheronimus Academy of Data Science and Università degli Studi di Salerno to complete this project.
  • Technologies used: Python, TextBlob, Beautiful Soup, Gensim, NumPy, Pandas, Scikit-learn, NLTK.

Technical skills

  • Strong experience in team-based projects, AI (NLP, image processing, machine learning), software engineering, and technical writing (LaTeX).
  • Proficient in data science technologies such as Python, OpenCV, NumPy, Pandas, TextBlob, Beautiful Soup, and Gensim.
  • Skilled in programming languages such as SQL, Java, C, and Python, as well as HTML/CSS.
  • Familiar with technologies including AJAX, MongoDB, C#, and JavaScript, Flutter, Dart as demonstrated in university projects.

Activity and awards:

  • Awarded x5 scholarships from Università degli Studi di Salerno for consistently passing all exams.
  • Helped over 1,700 students on stuDocu.com by publishing notes on computer science subjects such as computer theory, algorithms, cryptography, and networks.
  • Reached over 1,300 people on LinkedIn by publishing weekly original content on various computer science topics.

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  1. Emotion-Prediction-landmarks-analysis Emotion-Prediction-landmarks-analysis Public

    In this project we analyzed several subjects belonging to the CK+ dataset in order to detect when a micro-expression occurred. We also analyzed the intra-class and inter-class differences between d…

    Python 3 1

  2. lda-dsites-prediction lda-dsites-prediction Public

    This repository contains all the work I've been producing for my Bachelore Degree Thesis. It's about finding a way to classify potentially harmful websites just observing the texts we can extract f…

    Python 2 1