Enes Ergin

Vancouver, British Columbia, Canada
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Summary

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Rockstar
Enes Ergin is a data-focused software engineer and bioinformatician with an 11-year research background spanning graduate work at BC Children's Hospital Research Institute and visiting research at Harvard Medical School. He holds a BS in Computer Science (Honors) from North American University and applies strong algorithms, data structures, and statistical foundations to machine learning and deep learning problems. Experienced with Scikit-learn, TensorFlow, Torch7, and the scientific Python stack, he actively hones his skills through Kaggle competitions and practical bioinformatics projects in Lange Lab. His interdisciplinary experience includes molecular docking, experimental biology, and production mentoring systems, giving him a rare blend of wet-lab insight and ML engineering. Enes is seeking freelance opportunities where he can tackle interesting data-analysis and predictive modeling challenges. Colleagues describe him as a persistent problem solver who translates complex biological questions into reproducible computational workflows.
code11 years of coding experience
job11 years of employment as a software developer
languagesEnglish, Turkish, French
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Github Skills (52)

algorithms10
scipy10
notebook10
artificial-intelligence10
python10
jupyter10
ipython10
machine-learning-algorithms10
jupyterlab10
bioinformatics10
jupyter-notebook10
data-science9
machine-learning9
deep-learning9
scientific-computing9

Programming languages (9)

ShellCSSRCMakeSCSSHTMLJupyter NotebookCython

Github contributions (5)

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Contributions:90 commits, 80 pushes in 3 years 2 months
Contributions:49 commits, 29 pushes, 1 branch in 6 months
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Enes Ergin