I'm currently looking for a new role, ideally one in the Bay Area, on a team with a collaborative culture that's excited about using creative applications of machine learning to solve problems.
From October 2017 through January 2019, I worked as a Senior Data Scientist on an applied machine learning research and development group within Sophos, where I experimented with combining, implementing, and evaluating approaches from deep learning literature to problems of malicious web and file detection. While in the role, I spent time coding up new Pytorch and Keras implementations, brainstorming approaches to problems, and contributing research and experimentation to published and in-progress papers and talks.
From May 2015 through September 2017, I worked as a Data Scientist at LendUp , on a team deeply embedded into the product, with a strong mandate to use machine learning as a core competency of the Fintech business model. Here, I took on technical ownership of fraud detection and designed a novel anomaly detection framework, conducted lit reviews and became a core team resource on questions of model explainability and fairness, and had primary ownership of training, validating, and launching a production ML model.
My academic background is a broad-based foundation in social science, with specialization in data science and analytics built on top. I graduated Summa Cum Laude from Tulane University with a B.S. in Mathematical Economics. I then went on to complete a M.S. in Analytics (a program now called Data Science) at the University of San Francisco.
A more detailed pdf version of my resume can be found here. I would love to hear from you at cody[at]decodyng.com if you believe your organization may have a role that's a good fit for my background