Data scientist
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Passionate about data and AI and machine learning.
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
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.
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.
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
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
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
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
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
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.
