Ned Letcher
Lead Data Science Engineer
Melbourne, Victoria, Australia
Summary
🤩
Rockstar🎓
Top SchoolNed Letcher is a Lead Data Science Engineer with 12 years of experience building end-to-end data products, from NLP and text analytics to production web apps and cloud-based deployments. Based in Melbourne, he combines deep computational-linguistics training (BSc Hons and PhD work) with hands-on Python engineering, Linux DevOps, and AWS to turn messy data into actionable insights and compelling visualisations. He enjoys taking on unfamiliar domains and driving projects from inception to deployment, delighting users by revealing hidden signals in data. An active open-source contributor, Ned has improved Plotly Dash—adding tests, bug fixes and usability features—that power Python-driven analytical apps without JavaScript. He also mentors and teaches Python, bringing a practical, command-line-first approach and a knack for making technical work accessible and exciting.
12 years of coding experience
5 years of employment as a software developer
The University of Melbourne
Stackoverflow
3,622reputation
326kreached
42answers
26questions
Github Skills (17)
web-application10
python10
testing10
flask-ask10
dashjs10
webapp10
flask10
data-visualizations9
data-visualisation9
react9
gui-framework9
data-visualization9
nlp6
vim6
prolog6
Programming languages (12)
Github contributions (5)
plotly/dash
Aug 2017 - Jan 2019
Data Apps & Dashboards for Python. No JavaScript Required.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:3 reviews, 14 commits, 14 PRs in 1 year 5 months
Contributions summary:Ned primarily contributed to the Dash library, focusing on improving its functionality and maintainability. Their work included adding integration tests, fixing bugs related to component handling and import mechanisms, and improving the code style. The user also implemented features to enhance the usability of the library, such as adding a compress parameter and making Dash instances use the name attribute of the Flask server. Furthermore, they refactored pages folder configuration and added new tests.
pythonweb-appchartingflaskbioinformatics
ned2/divify
Oct 2013 - Sep 2015
Contributions:14 commits, 1 push in 1 year 10 months
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