Data scientist focused on bringing together machine learning and sustainability.

Data is the oil of the 21st century, and I believe it should be used to power a cleaner, healthier, and more open world. Since studying economics in college and writing my senior thesis on econometrics, I've been fascinated by the power using of data to understand the world around us. After spending time using those skills to optimize advertising campaigns in San Francisco, I chose to dive into more advanced data skills. I love Python, Bayesian statistics, machine learning and deep learning, and I'm particularly excited to use these skills on projects related to renewable energy, health care, and social engagement.