Daniel Hopp
Data Scientist
Geneva, Geneva, Switzerland
Summary
👤
Senior🎓
Top SchoolDaniel Hopp is a data scientist and statistician with 11 years’ experience applying machine learning and econometric methods to public policy and operational problems, currently working at UNCTAD in Geneva and pursuing a PhD at UNU-MERIT. He has led analytics and data engineering efforts across startups and industry—building ETL pipelines, streaming and edge analytics, and production ML for energy, housing, and e-commerce use cases—while driving novel research on neural-network forecasting and nowcasting for economic indicators. At the UN he bridges technical delivery and policy: designing statistical databases, drafting technical reports for high-level expert groups, and coordinating SDG measurement with international partners. An editor for a statistical journal emphasis on network analysis and AI, he combines rigorous academic training in econometrics with hands-on product deployment experience, and has a track record of translating research prototypes into operational data services.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.) Economics Politics, Bachelor of Arts (B.A.) Economics Politics at New York UniversityMaster’s Degree Master's Program in Economics and Management Science Specialization in Econometrics, Master’s Degree Master's Program in Economics and Management Science Specialization in Econometrics at Humboldt-Universität zu BerlinDoctor of Philosophy - PhD Innovation Economics Governance and Sustainable Development, Doctor of Philosophy - PhD Innovation Economics Governance and Sustainable Development at United Nations University-MERIT
English, Spanish, German, French
Github Skills (23)
lstm-neural-networks10
dfm10
lstm9
forecasting9
forecast9
deep-learning8
text-processing8
machine-learning8
pytorch8
chatbot7
python7
ai6
media-library6
julia5
neural-network5
Programming languages (5)
Github contributions (5)
dhopp1/COVID-19-status-reports
Mar 2020 - Nov 2022
Contributions:954 commits, 928 pushes, 2 branches in 2 years 7 months
dhopp1/nowcastDFM
Jul 2020 - Dec 2021
Dynamic factor models (DFM) in R. Easy estimation and new data contributions to changes in prediction.
Contributions:33 commits, 31 pushes, 1 tag in 1 year 4 months
nowcastingforecastingdfmdfms
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