NickE - Python Developer at plotly

NickE

Python Developer at plotly

Montreal, Quebec, Canada

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Summary

🤩

Rockstar

NickE is a Python developer with six years of experience based in Montreal, contributing to Plotly and Dash open-source projects. He blends back-end data-science work with front-end engineering, having improved plotly.py/plotly.express features and implemented axis-domain enhancements in plotly.js. His Dash Bio and Dash sample apps work shows practical full-stack chops in bioinformatics visualizations and interactive image segmentation, including integrating a Random Forest classifier. Known for refactoring and tightening complex visualization components, he focuses on code quality, documentation, and reproducible examples that make advanced plots more accessible.

6 years of coding experience

Github Skills (30)

data-visualizations10

webgl10

plotly-dash10

javascript10

grapher10

python10

charts10

chartist10

graph10

data-visualisation10

chartjs10

charting10

image-segmentation10

segmentation10

dashjs10

Programming languages (4)

JavaScriptJupyter NotebookRubyPython

Github contributions (5)

plotly/plotly.py

Jun 2020 - Nov 2020

The interactive graphing library for Python :sparkles:

Role in this project:

Back-end Developer & Data Scientist

Contributions:16 reviews, 161 commits, 25 PRs in 5 months

Contributions summary:NickE primarily contributed to the `plotly.py` library, focusing on enhancements and bug fixes within the `plotly.express` module. They addressed issues related to colorscale mapping, dendrogram functionalities, and subplot axis configurations. The user also implemented improvements, including updating documentation and expanding the functionality of the `select_traces` feature.

pythond3plotlyplotlyjswebgl

plotly/dash-sample-apps

Jun 2020 - Nov 2020

Open-source demos hosted on Dash Gallery

Role in this project:

ML Engineer

Contributions:23 reviews, 37 commits, 9 PRs in 5 months

Contributions summary:NickE primarily contributed to an image segmentation application within the Dash framework. Their commits focused on adding and modifying code related to interactive image segmentation, including file additions from another project ("canvas-sandbox"). The user implemented features such as the ability to draw marks on the image, show segmentation results, and download the image with classifications. They also integrated a Random Forest Classifier for image classification.

dashhostedplotly-dashplotlydata-visualization

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