Summary
Gabriele Ottaviani is an expert data scientist with 11 years of experience combining a strong physics background and a Master in Big Data to build pragmatic, analytically grounded ML solutions. He has delivered production-ready models and automation at Octo Telematics and now applies statistical rigor to economic and survey work at Banca d'Italia, previously supporting antifraud analytics and reporting at Deloitte. Gabriele’s strengths lie in translating complex problems into simple, effective algorithms—examples include anomaly detection with isolation forests and GMMs, fuel consumption regression optimization, and pedestrian-flow estimation at sub-municipal scale. Comfortable working with stakeholders under tight deadlines, he brings both client-facing communication skills and deep hands-on expertise in Python, ML, and data engineering. An intellectually curious problem solver, he often blends physical intuition with data-driven methods to surface interpretable insights.
11 years of coding experience
3 years of employment as a software developer
Laurea triennale, Fisica, Laurea triennale, Fisica at Università degli studi Roma TRE
Laurea Magistrale LM, Fisica, Laurea Magistrale LM, Fisica at Sapienza Università di Roma
Master di 2 livello, MASTER IN BIG DATA ANALYTICS & SOCIAL MINING, Master di 2 livello, MASTER IN BIG DATA ANALYTICS & SOCIAL MINING at Università di Pisa