Simon Larsson

Data Scientist

Stockholm County, Sweden
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Summary

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Senior
🎓
Top School
Simon Larsson is a data scientist with nine years of experience applying machine learning to real-world problems across retail, healthcare diagnostics, finance and industrial automation. He has shipped production ML products—most notably a store replenishment algorithm adopted at H&M—and now builds algorithmic tools for objective ADHD assessment at Qbtech. Comfortable spanning research, engineering and governance, he has driven R&D projects, ML pipelines and best-practice councils for cloud deployments. Outside client work he reimplements research papers, competes on Kaggle and helps the community on Stack Exchange, reflecting a blend of curiosity and practical delivery. Trained in automatic control and with exchange studies in China, he brings a control-theory mindset to data-driven solutions.
code9 years of coding experience
job9 years of employment as a software developer
bookMaster of Science in Electrical Engineering (MSEE), Automatic Control, Master of Science in Electrical Engineering (MSEE), Automatic Control at The Faculty of Engineering at Lund University
bookExchange studies, Control Theory and Chinese, Exchange studies, Control Theory and Chinese at 浙江大学
languagesSwedish, English, kinesiska
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Stackoverflow

Stats
188reputation
1kreached
3answers
0questions
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Github Skills (49)

callback10
keras-models9
stochastic9
mobilenet9
densenet9
efficientnet9
nlp8
keras8
keras-neural-networks8
segmentation8
cython8
resnet8
text-classification8
keras-tensorflow8
artificial-intelligence7

Programming languages (1)

Python

Github contributions (5)

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simon-larsson/keras-swa

Oct 2019 - Sep 2021

Simple stochastic weight averaging callback for Keras
Contributions:27 commits, 2 PRs, 64 pushes in 2 years
stochasticcallbacktensorflowaveragingkeras
Contributions:5 commits, 10 pushes, 1 branch in 1 year 2 months
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