Jonas Harnau
Engineer at Citadel
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolJonas Harnau is an engineer and founder with nine years of experience turning complex data into executive-grade decisions, most recently co-founding Sublimity AI to bridge business and technical teams and unlock 10x impact for data teams. He progressed from paramedic to an Oxford economics DPhil and fast-tracked from senior data scientist to Director and right hand of the CFO at LivePerson, where he built a 20-person team and centralized inaccessible data into a company-wide data lake. His work spans advanced econometrics, ML, and large-scale data engineering—automating Snowflake pipelines and developing real-time predictive models that rival senior leadership forecasts. Now at Citadel, he brings startup product instincts and quantitative rigor to high-performance engineering environments. An unusual strength is his ability to translate messy operational realities (from emergency medicine to retail transaction mapping) into clean, actionable analytics that shape strategy.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (DPhil) Economics, Doctor of Philosophy (DPhil) Economics at University of OxfordNanodegree Machine Learning Engineer, Nanodegree Machine Learning Engineer at UdacityBachelor of Science (BSc) Management and Economics, Bachelor of Science (BSc) Management and Economics at Universität Innsbruck
Github Skills (33)
period10
chain9
documentation-generator9
pypi9
python-modules9
literate-programming8
python8
jupyterlab8
jupyter8
conda7
machine-learning7
jupyterlab-extension7
developer-tools7
version-control7
streamlit7
Programming languages (3)
Github contributions (5)
JonasHarnau/apc
Apr 2017 - Jan 2020
Python Package for Age-Period-Cohort and extended Chain-Ladder Analysis
Contributions:206 commits, 6 PRs, 67 pushes in 2 years 9 months
pythonageextendedladderchain
JonasHarnau/keras-frcnn
Sep 2017 - Oct 2017
Contributions:1 PR, 11 pushes, 2 branches in 1 month
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