Hartmut Lentz
Data Science Lead
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolHartmut Lentz is a Data Science Lead based in Berlin with 13 years of experience applying quantitative, network-driven methods to real-world problems across finance, automotive, insurance and epidemiology. He blends a strong scientific pedigree—a summa cum laude PhD in physics and a background in theoretical physics—with hands-on product delivery, having led a research team that analyzed livestock trade networks of 10^5 nodes and developed novel temporal-network methods. At Senacor he moved analytics into business contexts such as AI-driven KYC, anomaly detection and process automation, while previously supervising 20+ scientific projects and translating network insights into operational metrics. Known for combining causal inference, deep learning and graph analysis, he is equally comfortable prototyping models and building teams that embed them into production. An underappreciated strength is his experience turning high-dimensional academic research into pragmatic solutions for regulated industries.
13 years of coding experience
8 years of employment as a software developer
Diplom, Physik, mit Auszeichnung, Diplom, Physik, mit Auszeichnung at TU BerlinFreie Universität BerlinPromotion, Physik, summa cum laude, Promotion, Physik, summa cum laude at Humboldt-Universität zu BerlinAbitur, Abitur at Evangelisches Gymnasium Siegen
German, English
Github Skills (6)
data-storage10
temporal10
factorization10
matrix9
python8
adjacency-matrix7
Programming languages (1)
Github contributions (5)
hartmutlentz/my_py
Apr 2015 - Jul 2021
Contributions:7 pushes in 6 years 4 months
hartmutlentz/TemporalNetworkAccessibility
May 2013 - Aug 2022
Provides classes for Adjacency Matrix Sequences and Temporal Network Edgelists.
Contributions:48 commits, 6 PRs, 118 pushes in 9 years 4 months
pythonfactorizationdata-storagetemporaltemporal-network
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