Name: Marco Ferri
Type: User
Company: Expedia Group Geneva
Bio: Software Engineer & Junior Data Scientist | Graduated in Computer Science @ USI - Milano Bicocca
Location: Lugano (Switzerland) & Milan (Italy)
Blog: https://marcoferri.dev/
Marco Ferri's Projects
Python Sentiment Analysis on Amazon Reviews with NLP, Machine Learning prediction models and ABSA. Basic Network Analysis and some experiments with Collaborative Filtering.
ASP.NET MVC demo web app for Homebrewing: ingredients and recipes management, choice of the best beer to produce given the current inventory.
Master Thesis project on the generalization of a convolutional neural network for control of drones, through network interpretability and advanced image augmentation techniques.
Simple Django Web App to compress images using a DCT based algorithm.
Reinforcement Learning for teaching an agent playing Atari games using Deep Q-Learning through Tensorflow. 4th assignment of the Deep Learning Lab course at Università della Svizzera Italiana (USI) Lugano.
Text prediction and generation through LSTM Neural Network with Tensorflow. 3rd assignment of the Deep Learning Lab course at Università della Svizzera Italiana (USI) Lugano.
Turtlesim videogame simulation through ROS (Robot Operating System). 1st assignment of the Robotics course at Università della Svizzera Italiana (USI) Lugano.
LIDAR Mapping & Path Planning on a differential drive robot using ROS and Gazebo. Final project of the Robotics course at Università della Svizzera Italiana (USI) Lugano.
Simple simulation of differential drive robots avoiding obstacles while randomly exploring an environment with ROS and Gazebo. 2nd assignment of the Robotics course at Università della Svizzera Italiana (USI) Lugano.
Soccer matches result prediction with Bayesian Networks in R.
Development of a search engine using Apache Solr and its integration in a .NET environment. Bachelor thesis for my Computer Science degree at University of Milano-Bicocca. (Italian language)
Convolutional Neural Network generalization for visual control of drones, through network interpretability and advanced image augmentation techniques. Person masking for background replacement to perform data augmentation during training.
USI Hackaton 2019, Making Data Alive | Bike-sharing dataset analysis and visualization through Python and Shiny R.