Gioele Cageggi

Passionate about data and AI and machine learning.

DATA SCIENTIST

Vodafone Automotive, Italy | Full Time | Feb 2022 - Now

Project: Classifications projects. In general, the work for the security operation centre is reduced of 60% with the ML models i’ve developed starting from unbalanced datasets.

Technologies: Python, Scikit Learn, Spark, Scala, Kafka

DATA SCIENTIST - ANDROID DEVELOPER

Xenia Progetti S.R.L, Italy | Internship | Dec 2020 - Jul 2021

Project: A Smart wearable system to protect workers during activities. The app analyses the data from a Depth Camera for Object Detection and Distance Estimation with Occlusions

Handling. - GitHub

Technologies: Python, Java, TensorFlow, Firebase, Intel RealSense SDK

WEB APPLICATION DEVELOPER

University Of Catania, Italy | Internship | May 2018 - Nov 2018

Project: FIAR (Four-In-A-Row) is a single page, online, multiplayer game application.

Technologies: JQuery, Node.js, Socket.io, p5.js, Bootstrap. GitHub

MASTER’S DEGREE, COMPUTER SCIENCE | 2019 - 2021

Final score: First class honours 1st - 110L with honours.

Thesis: Smart Safety System on Road construction activities. Object Distance Estimation and

Occlusions Handling - GitHub.

Key Courses

Fundamental of Data Analysis

I’ve learned the basic introduction to state of the art of data analysis and automated classification.

Project: Tutorial of data analysis and classification on Spotify dataset.

Social Media Management

I’ve acquired the practical skills for implementing systems to analyse data extracted from social media,

web scraping and how recommender systems works.

Project: Tutorial of using Genius API, web scraping and text analysis using NLTK. Link

Machine Learning

I’ve learned techniques to design and optimise learning algorithms, models for classification and regression, as well as neural network architectures and those useful to assess the performance of

Machine Learning systems.

Project: Interior Room Classifier - Android App for real time classification inference using

Pytorch framework. Link

Artificial Intelligence

I’ve acquired basic knowledge about Intelligent Agents and their main features, problem solving, knowledge and reasoning.

Project: Graph Partitioning Problem solved using a genetic algorithm approach. Link

Cloud Systems

I’ve acquired the fundamentals for the development of cloud solutions and distributed systems. I’ve learned the basics services and solutions provided by Amazon AWS.

Project: Biomedical Ontology Augmenter - A collection of microservices for enriching an ontology using Docker and Kafka. Link

Mobile programmation

I’ve learned how to develop complex real-time Java applications for Android OS using Android Studio.

Project: Android application combo to avoid physical queues for services (like shops). You can queue up in a queue by taking a virtual ticket and when it is your turn you will be notified. Link

Optimisation

I’ve learned how to use analytic tools to model and foresee situations in which a single decision-maker has to find the best choice. I will be able to mathematically formulate real-life problems, solve them using numerical methods, and realise what the optimal choice is.