A Research Scientist’s journey through hand-coded regressors, pickled trees, and attentive neural networks — One week into my Research Science role at Lyft, I merged my first pull request into the Fraud team’s code repository and deployed our fraud decision service. No, it wasn’t to launch a groundbreaking user behavior activity-based convolutional recurrent neural network trained in a semi-supervised, adversarial fashion that challenges a…
