Federico Mazzoni
Hi! I work at Domotz, integrating new AI solutions within the company's framework. My background is in Data Science, and for a while, I've been a PhD Fellow in AI at the University of Pisa. On this page, you'll find the projects I've undertaken over the years, whereas here you can find my up-to-date CV.
Feel free to drop an email or add me on LinkedIn! I always love going out of my comfort zone and learning something new.
My Portfolio
Academic Projects
These are the projects I worked on during my PhD.
- The Trust Analyzer is a WIP project. It aims to analyze conversational trust either in a network of humans, or between a human user and an LLM.
- Frank is a Hybrid Decision-Making system, learning little by little from the user to help them make good, unbiased, and consistent decisions. It employs Incremental Learning in a novel way. Developed as part of the EU TANGO Project.
- GenFair is a data augmentation framework, that employs a genetic algorithm to create synthetic data to make a dataset fair. Developed as my Master’s thesis.
- FairNet is GenFair’s counterpart for networks. We assumed that in a “fair” network, no group should be marginalized, and we created a recommender system to achieve that condition.
Out of GenFair, a Master’s student from my University developed her own algorithm, SafeGen, which I supervised, and I experimented with GenBalance. Respectively, they focused on fairness + privacy, and fairness + imbalanced learning. I also developed two simple tools that found their way into Frank, Simple Counterfactual and FairCheck.
Personal Projects
These are my more personal projects. :)
- Remember those old black and white Game Boy games? Simple Palette Maker allows the user to colorize them when played on the Analogue Pocket.
Test Projects
Here are the projects I developed either as a test, or when I was an University student. The code might be a little dirty!
- Django. Managing restaurants, recipes, and ingredients.
- Text Analytics. Classifying the genre of several books from GoodReads.
- Laboratory of Data Science. Employing an ETL framework (including MDX, Visual Studio) for BI.
- Distributed Data Mining. Distributed analysis of a large dataset of Android apps.
- Social Network Analysis. Temporal analysis of Nintendo communities from Twitter.
- Statistics. Textual and statistical analysis of tweets from Italian politicians.
- Advanced Data Mining. Analysis and classification of songs with advanced Data Mining techniques.