12-08, 16:00–17:30 (UTC), Main Track
Writing online remains an underrated career asset in data science and data engineering. A single well-crafted article can effectively showcase both technical and soft skills, and it can be a powerful tool for networking at conferences and engaging with recruiters. While students or new entrants to tech are often encouraged to create portfolio projects to showcase their skills, they often neglect the "last mile" of writing an accompanying piece and posting it somewhere online. Git repos can’t convey what trade-offs were made, why you made certain tweaks to the model, and why you chose this data orchestrator over another. Writing about your data project helps verify that you truly understand the underlying ideas and have domain knowledge expertise. I have three goals for my talk: 1. Understand how “existing online” still remains a massively underrated career asset—and you only need 1 article to start 2. Learn how to write a strong portfolio piece that signals your technical skills and ability to communicate 3. Confidently use your published work in your job search to network more effectively, both online and offline
Elliot Gunn is a consultant specializing in technical writing and developer marketing for clients in data science and data engineering. Prior to freelancing, he worked at Plotly and Towards Data Science, and recently completed his MSc. in Economic History at the London School of Economics. When not coding or writing about code, he enjoys coaching LEGO robotics.
Github: https://elliotgunn.github.io/