Gerardo De Rosa

Developer Use of Java, Python and Node.js; Cloud technologies such as microservices and docker; Big Data management; Use of Machine Learning techniques

Traineeship Study and development of an application that uses RL and AI algorithms to allow drones to find the best path in a grid environment; with the purpose of providing support to existing networks while minding at the energy consumption of the battery and the time elapsed; performing the right number of recharges to reach the goal.

Thesis Presentation

Traineeship Study, analysis and experimentation of a dataset of bioinformatics data, the activity carried out was aimed at elaborating an adequate feature selection and subsequently a classification process between two types of leukemia based on neural networks and deep learning.

https://github.com/fauxl/Leukemia-Classification

Master’s Degree in Data Science Main topics: collection, storage, cleaning and mining of data from the internet, artificial intelligence, deep learning and neural networks.
Grade: 110/110 cum Laude – Thesis on: AI-based algorithms for drone routing in telecommunication scenarios

Degree in Computer Science Main topics: Programming languages at low and high level, creation of websites, use of algorithms and data structure, data storage, operative systems, networks, parallel and distributed programming.
Grade: 94/110 – Thesis on: Data Science: Deep Learning vs Neural Networks

Graduate as Accountant, Commercial expert and Programmer Grade: 100/100