Stefano Ciccarelli

Owned and extended Skippy, the S&OP planning system, improving bottleneck-detection accuracy by over 50% and building disruption and scenario-planning capabilities. Designed LLM-based agents and delivered end-to-end with AWS technologies.

Relocated to New York as primary engineer for the North America rollout, building production-grade AWS-native applications and integrating hierarchical optimization into large-scale planning solutions. Co-led knowledge-sharing sessions with a Principal Engineer.

Invented and built Skippy, a financial and planning intelligence system for inventory management, adopted across Europe and North America covering 250+ warehouses. Delivered an estimated $100M–$1B in annualized savings.

Solved complex labor cost optimization problems using large datasets and advanced analytical techniques, contributing to millions of USD in documented savings.

Delivered financial deep-dive analyses and forecasting evaluations using econometric techniques in Python and SQL, focusing on controllership and communication.

MSc Corporate Finance & Banking track within the QTEM International Master's Program, completing 11 exams in one semester.

MSc Business Analytics track within the QTEM International Master's Program, covering advanced data analysis, forecasting, text analytics, and supply chain analytics.

BSc in Economics and Management with a thesis on community sentiment and financial markets using NLP and ML.

Grade: A+ (99%)

Executive program in Neural Networks & Deep Learning, achieving A+ (99%).

Grade: A

Executive program in Machine Learning & Statistics, achieving an A grade.

Grade: 110/110 CUM LAUDE

MSc in Corporate Finance with a thesis on financial machine learning and DNN-based portfolio optimization, achieving 110/110 cum laude.