Marco Dal Molin
Data And Automation Engineer
Wallisellen / Hof, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolMarco Dal Molin is a Data and Automation Engineer with eight years of experience bridging hydrological research and production software, currently applying data engineering skills at Vontobel. He holds a PhD candidacy in Hydrology and Water Resources Science and built SuperflexPy, a released hydrological modelling framework that showcases his ability to turn research-grade models into reusable software. Comfortable across Python, machine learning, and web-based data visualization, he brings both scientific rigor and product-minded delivery from roles in academia and digital marketing technology. Marco’s background in teaching and co-supervising students underscores strong communication skills, while his practice of publishing only mature repositories on GitHub hints at a disciplined, quality-first approach to open-source sharing.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Environmental Engineering, Full marks, Master's degree, Environmental Engineering, Full marks at Università di TrentoDoctor of Philosophy - PhD, Hydrology and Water Resources Science, Doctor of Philosophy - PhD, Hydrology and Water Resources Science at Université de Neuchâtel
Italian, English, German
Github Skills (18)
algorithms7
hydrology7
python7
style-transfer6
scientific-computing5
scipy5
deep-learning3
parameter-estimation3
tensorflow3
machine-learning2
optimization2
carbon-emissions1
open-source1
kobo1
meteorology1
Programming languages (3)
Github contributions (5)
dalmo1991/superflexPy
Nov 2019 - Aug 2022
SuperflexPy: The flexible language of hydrological modelling
Contributions:8 releases, 13 commits, 4 PRs in 2 years 9 months
pythonhydrologicalhydrological-modellingmodellingflexible
dalmo1991/HydroAnalysis
Sep 2021 - Nov 2021
HydroAnalysis is a Python package to calculate indices and metrics useful in the everyday job of an hydrologist.
Contributions:1 release, 15 commits, 3 PRs in 2 months
pythonhydrology
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