Pierpaolo D'Odorico

Siamo la AI Transformation Company che lavora con le aziende per affrontare in modo consapevole, strategico e misurabile la rivoluzione dell’Intelligenza Artificiale. Datapizza AI è il nostro framework open source per costruire sistemi di Intelligenza Artificiale modulari, multi-agent e RAG-based, progettato per essere scalabile, trasparente e production-ready. Operiamo come cabina di regia tecnica: sviluppiamo soluzioni di AI solide e production-ready, integrate nei sistemi core delle aziende enterprise. In parallelo, supportiamo la trasformazione del modo di lavorare delle persone, collaborando con HR, Learning & Development, Team Innovation e linea di Leadership. Perché abilitare nuove competenze, adottare nuovi modelli operativi e assumere i giusti profili tecnici è tanto importante quanto la costruzione della tecnologia AI. Abbiamo già realizzato progetti con 20+ clienti enterprise, combinando LLM, AI Agents e RAG in progetti di frontiera, hiring di specialisti tramite Datapizza Jobs e percorsi di AI Adoption.

AI Agents for Honeypot & SOC Automation.

Utilizziamo l'AI Generativa per creare rapidamente la documentazione per bandi pubblici, aiutando aziende, professionisti e pubbliche amministrazioni a candidarsi in modo veloce ed efficiente. La nostra piattaforma analizza il bando, guida l’utente nell’inserimento dei dati e genera automaticamente la documentazione completa, riducendo errori, tempi e costi.

Internship's goal is to get in touch with real world data and to write my master thesis "Bin Packing through Machine Learning". The business domain is transportation optimization. The goal is to inspect the business problem from a mathematical point of view and to focus on different state-of-the-art techniques involving Machine Learning. The road map consists in defining in a formal way the Operational Research problem, and to test approaches involving Deep Reinforcement Learning and Graph Neural Networks.

Internship’s goal was to explore algorithms and different approaches for unsupervised anomaly detection in univariate seasonal time series. The final pipeline has been put into Datasoil's framework using Apache Airflow. The creation process is described in the bachelor thesis: "A scalable Time Series Anomaly Detection framework, application for Datasoil s.r.l."

I spent my career in major youth teams. I won 2 Italian championships with Trentino Volley team. During my time at University I spent time in national C and B series for the University of Padua team.

The MS prepares students to be expert in data analysis, gaining interdisciplinary skills across a number of disciplines and technologies. The Machine Learning curriculum offers technical training on advanced AI/ML theories and tools, efficient data handling, their software application and utilization to solve real-world issues. Main subjects: - Statistical Learning & Stochastic Methods - Optimization of algorithms for Data Science - Machine and Deep Learning - Computer Vision, Network Science & Financial Data Modelling

Interdisciplinary training in statistics and economics, with special focus to business applications. Expertise in statistical applications for market analysis, market research methodologies and in detection of customer satisfaction. Main subjects: - Mathematical Analysis, Algebra, Probability and Statistics - Programming basics in R & Python - Databases - Advanced Statistical Model - Data Visualization - Time Series and Statistical Methods for Business - Statistical Methods for Big Data - Business Administration