Michele Fortunato
AI Transformation Lead
Rome, Lazio, Italy
Summary
👤
Senior🎓
Top SchoolMichele Fortunato is an AI transformation leader and founder with 11 years of experience blending hands-on engineering, product management and strategic IT leadership across startups and a global energy group. At Enel he built and scaled software quality governance for 1,700+ applications, launched Test&Quality product management, and now leads a global AI-driven software development transformation across 10+ initiatives and 30+ professionals. He pairs deep technical credentials—a Data Science MSc and contributions to the widely used statsmodels library introducing a novel stationarity test—with dual masters in Energy Engineering and an ongoing MBA, enabling data-led decisions that align with business outcomes. A former Chief of Staff to the CIO, Michele brings rare cross-functional fluency between exec strategy and developer practices, and his startup roots inform a lean, product-focused approach. Outside work he channels competitive-athlete discipline into endurance sports and runs a sports media startup, demonstrating both entrepreneurial grit and persistence.
11 years of coding experience
12 years of employment as a software developer
Master of Science, Data Science, Master of Science, Data Science at Sapienza Università di RomaStartup, Startup at InnovAction LabMaster of Science, Electrical Engineering, Master of Science, Electrical Engineering at Aalto UniversityScuola Media Superiore, PNI, Scuola Media Superiore, PNI at Liceo ScientificoMaster of Business Administration - MBA, Economia aziendale/manageriale, Master of Business Administration - MBA, Economia aziendale/manageriale at Luiss Business School
French, Spanish, Italian, English, Spanish, finlandese, French
Stackoverflow
35reputation
2kreached
1answer
3questions
Github Skills (21)
python10
statistics10
time-series10
econometrics10
data-analysis10
regression-models9
hypothesis-tests8
numpy8
hypothesis-testing8
scipy8
forecasting7
forecast7
android-studio6
android6
htaccess6
Programming languages (10)
Github contributions (5)
statsmodels/statsmodels
Aug 2021 - Aug 2021
Statsmodels: statistical modeling and econometrics in Python
Role in this project:
Data Scientist
Data ScientistContributions:3 reviews, 8 commits, 2 PRs in 14 days
Contributions summary:Michele implemented and tested the "Range Unit-Root" (RUR) test for stationarity within the statsmodels library. Their primary contribution involved integrating the RUR test, including the calculation of test statistics and the interpolation of p-values. They also fixed issues related to null hypotheses and formatting, while addressing comments and updating documentation related to the new test. The user's work expanded the library's time series analysis capabilities.
forecastingpythonregression-modelsstatsmodelsstatistics
mikylucky/lambda-tensorflow-object-detection
Jun 2019 - Jul 2019
Contributions:1 release, 4 commits, 2 pushes in 1 month
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