Learn the Keys to a Successful IoT Development Project in This Guide.
Senior Data Scientist San Francisco, CA
As a Senior Data Scientist at Very, Daniel Martin-Alarcon enjoys developing creative solutions to intricate problems that create positive impacts for Very's clients and the world at large. He especially likes working on machine learning and data analysis in Python.
During his time at Very, Daniel has worked with a maker of industrial machines that make corrugated cardboard products to develop their IoT predictive maintenance solution.
Before joining Very, Daniel was a senior research scientist for Hinge Bio, where he designed the company's first data processing pipeline in Python, replacing legacy methods handled in Excel.
Daniel holds a Bachelor of Science in Chemical Engineering from New Mexico State University and a Ph.D. in Biological Engineering from the Massachusetts Institute of Technology, with a focus on Synthetic Biology.