Paolo Lucchino
Lead Data Scientist
Greater Ancona Metropolitan Area Italy
Summary
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Top SchoolPaolo Lucchino is a Lead Data Scientist with 15+ years combining data science, economics and public policy to build production-ready ML systems and evidence-driven interventions. He has led end-to-end projects from real-time social media monitoring and demand prediction for 40k+ attractions to cost-saving adaptive sampling for crowdsourced data that cut costs by 55%. Comfortable in client-facing and cross-functional leadership roles, he mentors data science learners and has taught MSc modules while supervising numerous applied projects. His work spans text and network modelling, geospatial clustering, randomized trials in rural Kenya and open-source contributions (gmplot), demonstrating a rare blend of academic rigour (PhD in Economic Geography) and product-focused engineering. Based in Italy, Paolo bridges government, NGO and commercial settings, turning noisy, heterogeneous data into actionable, scalable solutions. He particularly excels at designing bespoke algorithms that encode domain priorities into practical deployment pipelines.
9 years of coding experience
5 years of employment as a software developer
International Baccalaureate, International Baccalaureate at St. Stephen's SchoolBachelor of Arts (BA), Economics and Social Anthropology, Bachelor of Arts (BA), Economics and Social Anthropology at School of Oriental and African Studies, U. of LondonMaster of Science (MSc), Economics, Distinction, Master of Science (MSc), Economics, Distinction at London School of Economics and Political ScienceGraduate Certificate, Mathematics, Distinction, Graduate Certificate, Mathematics, Distinction at Birkbeck, University of London
Italian, Spanish, Arabic, English, Serbian
Github Skills (49)
api-client9
sdk9
api9
rest-api8
rest8
generator8
eda8
restful-api7
spec7
data-quality7
exploratory-data-analysis7
data-profiling7
plot7
rest-client7
api-server7
Programming languages (4)
Github contributions (5)
paololucchino/data-science-training-materials
Jan 2018 - Aug 2022
Contributions:2 pushes, 1 branch in 4 years 7 months
WFP-VAM/PatchTST
Mar 2024 - Aug 2024
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
Contributions:1 review, 11 PRs, 50 pushes in 5 months
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