Critically assess your biases. Publish this analysis biases alongside your data insights. Consider who might want to opt out of a given data application. Strive to empathize with users that resist features and aim to understand why. ...the Tao is found where we would least expect it--not in the strong but in the weak; not … Continue reading Dao De Data, Chapter 1
Balance is a tricky thing to navigate. Documenting my off-time development is important to me, but I get so into the actual learning and production in the brief time I have before work that I end up pushing multiple commits in the 5am-6:30am range at the expense of personal reflection in public. Aka I have … Continue reading My Morning Commits
Public tech meetups are my new social outlet while I recover from prolonged ankle injury and balance several heavy workloads.
Reflections on my first hackathon.
Brief, belated review of Day 5 from Kaggle's SQL Scavenger Hunt.