It's just Me, Myself and I.

Minimal Portfolio for my Data Science projects. Jekyll minimal template hosted on GitHub Pages.

Code for my Master's Thesis "Deep Neural Encoding Models of the Human Visual Cortex to Predict fMRI Responses to Natural Visual Scenes" and my submission for the "Algonauts Project 2023 Challenge".

Extreme Extractive Text Summarization and Topic Modeling (using LSA and LDA techniques) over Reddit Posts from TLDRHQ dataset.

Tetuan City Electricity Consumption High-Frequency Time-Series Forecasting Using Arima, UCM, Machine Learning (Random Forest and k-NN), and Deep Learning (GRU Recurrent Neural Network) Models.

Code for the paper "Theoretical Investigation of Inorganic Particulate Matter: The Case of Water Adsorption on a NaCl Particle Model Studied Using Grand Canonical Monte Carlo Simulations" and Bache…

Two-stream CNNs for Video Action Recognition using Stacked Optical Flow. Implemented in Keras on HMDB-51 dataset.

Brain T1-Weighted MRI Images Classification and WGAN Generation (Alzheimer's and Healthy patients) for the purpose of data augmentation. Implemented in TensorFlow, trained on ADNI dataset.

🧬☣️ An up-to-date & curated list of awesome ML in biology and medical imaging datasets, project, ideas, papers & repositories.

CXR-ACGAN: Auxiliary Classifier GAN (AC-GAN) for Chest X-Ray (CXR) Images Generation (Pneumonia, COVID-19 and healthy patients) for the purpose of data augmentation. Implemented in TensorFlow, trai…

Toxoplasma Gondii: PubMed Bibliographic Data Acquisition and Analysis, using BioPython Package.

Analysis of metadata from The American Gut Project, aiming to find relationships between the presence of emigraine headache in subjects, the coopresence of gastrointestinal disorders, and the chara…

Two Data Visualization about the relationship between PROMs scores after surgery and weather conditions on the day of compilation. Made with the matplotlib library.

Descriptive Statistics and Regression Analysis on Used Vehicle Dataset.

Credit Card Fraud Detection using different classifiers (RF, SVM, Naive Bayes, Logistic Regression, ...) on KNIME platform.

Interactive Visualization & Data Analysis: Evolution of Air Quality Index (IQA) in Milan, Italy in the last 15 years.

Time Series Analysis and Forecasting (using ARIMA, UCM and Random Forest models) of a restaurant's revenue during the first lockdown of the COVID-19 pandemic in Italy, to estimate the loss incurred.

Project for Social Issues in Information Society course

Using distibuctional semantics (word2vec family algorithms and the CADE framework) to learn word embeddings from the Italian literary corpuses we generated.

Data Acquisition and Modeling: Graph database containing information related to competitive Pokémon videogames, scraped from various sources

Simple data processing w/ Pandas

Personal site on GitHub

Repository to upload useful datasets