RankSense is an SEO company specializing in data driven insights. RankSense's software allows us to dynamically change SEO related page content (such as meta descriptions and title tags). Over dozens of past clients and millions of lines of data, we use machine learning to determine the best changes to make so your site gets more traffic faster.

At RankSense I was responsible for a myriad of data science and general development tasks, from A/B testing, to developing flask APIs, to training convolutional neural nets and visualizing results. Most of my work was done in Python, but R was also used occasionally for proof of concept work.

Brook.ai is a health management startup focused on making Diabetes easier to manage. Brook provides data driven insights into a user's health data (steps, blood glucose, sleep, etc.) through both automated analyses and one-on-one text-based counseling from certified Diabetes Educators and Dieticians.

As the data scientist at Brook.ai, I was responsible for developing and maintaining the entire data pipeline, from app usage metrics to health data. If there was a question about the data, I was the one to ask.

As a tutor for The Princeton Review, I helped to mould the minds of our young ones. Or I helped them improve their SAT scores, at least.

While I was a lab manager in the Proulx Lab at UCSB I ordered reagents and supplies, directed undergraduate researchers, and ensured that the lab environment was running smoothly. And of course I helped the more senior researchers with different ongoing experiments as needed.