Rachel Lavin
Data Visualisation Weekend Editor
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolRachel Lavin is a senior data and digital journalist with eight years' experience crafting investigative stories through statistical analysis, bespoke visualisations and interactive web projects for national outlets across Ireland and the UK. Currently Data Visualisation Weekend Editor at Bloomberg, she previously led innovative data journalism at The Sunday Times and the Business Post, producing nationally recognised work on Covid-19, elections and social media toxicity. Comfortable coding custom microsites and teaching information design, she combines newsroom editorial judgment with technical skills to make complex global conflicts, climate stories and current affairs accessible and engaging. A Goldsmiths MA graduate and former Google News Lab fellow, she has a track record of translating large, messy datasets into audience-facing investigations and tools—such as pandemic dashboards and bespoke election explainers—that have informed public debate.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Arts (B.A.), English Literature & History, Bachelor of Arts (B.A.), English Literature & History at Trinity College, DublinMA/Msc Digital Journalism, Digital Journalism, MA/Msc Digital Journalism, Digital Journalism at Goldsmiths, University of London
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
scrape6
twitter5
facebook5
python4
Programming languages (1)
Github contributions (5)
RachelLavin27/rachellavin27.github.io
Oct 2017 - Apr 2021
Contributions:291 commits, 276 pushes, 2 branches in 3 years 5 months
WhoTargetsMe/Ad_Library_API
Aug 2019 - Sep 2019
Python code package to scrape the Facebook Ad Library data
Contributions:20 commits, 19 pushes, 1 branch in 11 days
python-codepythonscrapedata-libraryfacebook
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