Andrea Vidali
Data Scientist
Milan, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolAndrea Vidali is a Data Scientist based in Milan with 9 years of experience specializing in risk analytics and production ML for finance and industry. At illimity he manages end-to-end credit risk models—feature engineering, benchmarking, inference and API serving—and helped define a feature store migration while building peer-company matching for investment assessment. Previously he deployed anomaly detection for streaming manufacturing data and experimented with AlphaZero-like reinforcement learning for scheduling at OROBIX, and his academic work applied deep RL to traffic signal control. He pairs rigorous honors-level informatics training with practical deployment experience, bridging research methods and robust model lifecycle practices. Notably, he blends classic risk modeling with modern ML infrastructure work, making him effective at moving complex models into reliable production.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Informatics, 110 / 110 (with honors), Master's degree, Informatics, 110 / 110 (with honors) at Università degli Studi di Milano-Bicocca
Github Skills (25)
openai-gym10
deep-q-learning10
pyecharts10
deep-reinforcement-learning10
sumo10
q-learning10
traffic10
agent8
reinforcement-learning8
render5
feature-selection4
python4
streamlit4
principal-component-analysis3
visualization3
Programming languages (2)
Github contributions (5)
AndreaVidali/Deep-QLearning-Agent-for-Traffic-Signal-Control
Jan 2020 - Jul 2021
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
Contributions:19 commits, 4 PRs, 43 pushes in 1 year 6 months
correctagentlightreinforcement-learningmaximize
AndreaVidali/news-SE
Dec 2017 - Mar 2019
Contributions:16 pushes, 1 branch in 1 year 3 months
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