Data and Data Design Consulting by Lynn Cherny
I'm a data analyst and visualization design consultant located near Boston. I love finding patterns in complex data and making data visual, comprehensible, and actionable.
Key concepts inspiring my work:
- Messy data collected, cleaned, analysed, and visualized. I can handle numeric and textual data (topic models, clustering, parsing...).
- Typical projects: analysis, visualization, D3 charts, dashboard design, text mining, and other data-related advice/work.
- Cross-disciplinary: My work overlaps the edges of computer science, statistics, machine learning, NLP, and social science. I keep up with a lot of current "data science" research and work in information visualization.
I currently moderate a mailing list for data visualization contract work: data-vis-jobs on Google Groups. If I can't help you, that list might be able to!
I'm also the co-chair of OpenVis Conference, a visualization conference in Boston every spring.
My resume in a short-form: Since my Ph.D. at Stanford, I spent about 18 years as a user interface designer and online community researcher. I published in that area, including two books; and I've worked as a corporate designer and manager of designers for 20 years at companies you've heard of, like TiVo and Adobe. I've been consulting for about 8 years now.
You can find my work background and more about my consulting on my bio page.
My Blog and Twitter
My blog is the most-often updated part of this site, with links to recent talks and hobby projects. My Twitter account @arnicas has a mix of stuff I find worth passing on in data science, nlp, infovis, stats, and sometimes gender politics and TV.
Articles and Talks
Archived talk links and essays from old blog or web postings live on the talks and essays page. Also posted are some photo-travel articles (surprisingly popular!).
Highlights in travel include an ill-fated trip to Siberia, a visit with bird fanatics on Fair Isle (north of Scotland), and stories about a haunted house in the Shetland Islands, to which my readers have contributed.