Juliane Mai

Software Developer II at ATS Corporation

Kitchener, Ontario, Canada
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Summary

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Senior
🎓
Top School
Juliane Mai is a software developer and applied-math-trained data scientist with eight years of experience building large-scale hydrologic and data platforms that translate complex environmental models into decision-ready tools. Fluent in German and based in Kitchener, she pairs research-grade expertise in model calibration, data assimilation and HPC with practical software skills in Python, C/C++, Fortran and SQL to deliver production-ready pipelines and portals like CaSPAr and Hydrohub. Her background spans academia and industry—leading research clusters and consulting for organizations such as BC Hydro and Natural Resources Canada—so she navigates stakeholder-driven projects from prototype to deployment. Notably, her work blends operations research and environmental modeling, enabling robust uncertainty quantification in forecasting systems that inform real-world water-management decisions.
code8 years of coding experience
job7 years of employment as a software developer
bookMaster of Science - MS Applied Mathematics, Master of Science - MS Applied Mathematics at HTWK Leipzig
languagesGerman, English
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Github Skills (51)

wps10
water10
resampling10
mixed-models10
ord9
ecology9
raven9
sum9
calibration9
hydrology9
julian-date9
gis9
modeling9
sequential9
hydrodynamics8

Programming languages (5)

C++ShellJavaScriptPythonFortran

Github contributions (5)

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julemai/EEE-DA

Jul 2020 - Feb 2022

This GitHub is providing all data and scripts used to produce all figures in publication "Application of Parameter Screening To Derive Optimal Initial State Adjustments for Streamflow Forecasting".
Contributions:3 releases, 1 PR, 15 pushes in 1 year 7 months
forecastingpythonderivestreamflowscreening
julemai/xSSA-North-America

Nov 2019 - Jan 2022

Contributions:1 release, 128 commits, 5 pushes in 2 years 2 months
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