GiacomoPracucci/RL-edge-computing
Reinforcement learning for load distribution in a decentralized Edge environment. This is the implementation of my Master's thesis project for the Data science course (October 2023).
Data Scientist
Reinforcement learning for load distribution in a decentralized Edge environment. This is the implementation of my Master's thesis project for the Data science course (October 2023).
Conditional GAN for generating synthetic tabular data.
Synthetic data generation for tabular data
A natural language to SQL converter with integrated schema exploration capabilities. The application automatically extracts and enriches database metadata to enable both conversational querying and intuitive schema navigation, requiring zero manual configuration
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
Automation of salad cultivation with RL
Kaggle Competition - The goal is to create an energy prediction model of prosumers to reduce energy imbalance costs.
Text classification and topic modeling using an e-commerce dataset containing product descriptions. Developed during 2nd year of study in Data Science (January 2023), together with my colleagues Dario Galimberti and Paola Impiccichè.
Recognize species of flower from a set of images. Developed during 1st year of study in Data Science (June 2022), together with my colleagues Alessandro Cosentino and Monica Vivace.
Image classification to detect autism spectrum disorder and analysis of the related scientific literature using NLP and data visualization techniques. Developed during 2nd year of study in Data Science (June 2023), together with my colleague Claudio Pezzoni.