Expert For Air Pollutant Emissions at GeoSphere Austria
Vienna, Austria
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Summary
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Senior
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Top School
Manuel Huber is a meteorologist and data scientist with 16 years of experience focusing on air pollutant emissions, climatology, and meteorological modelling, currently working at GeoSphere Austria. He combines strong hands-on analytics in Python (xarray, pandas, Keras, SciPy) with practical Linux, bash-scripting and GitLab workflows to preprocess and postprocess large geospatial and climate datasets. His academic work includes regression and neural-network models for predicting valley minimum temperatures and lightning strikes, with formal comparisons using confusion matrices, ROC curves and Press’s Q-Test. Equally comfortable with time-series diagnostics—trends, ARMA processes, autocorrelation and stationarity—he is learning Haskell to explore immutable distributed-ledger technology and Cardano programming, signaling a rare blend of atmospheric science and blockchain curiosity.
16 years of coding experience
Master of Science - MS, Meteorology, Master of Science - MS, Meteorology at Universität Wien
Android App to track nursing periods and diaper changes
Contributions:9 releases, 8 PRs, 32 pushes in 2 years 2 months
retrofit2nursingandroidperiodsandroid-app
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