Rodrigo is a Data Professional with working experience designing and implementing data architectures & ML pipelines in Scala and Python. Due to his academic background, he has strong skills in mathematics, predictive modeling, and financial domain knowledge. He has a keen interest in functional programming, artificial intelligence, and distributed systems.
Currently working at PayClip as a senior data-engineer and at Western Institute of Technology and Higher Education as a machine-learning professor.
Executive Program on Business Management, 2019
Tecnológico de Monterrey
BSc in Financial Engineering, 2018
Instituto Tecnológico y de Estudios Superiores de Occidente
Proactive member of the data-engineering team and Scala developer with a focus on functional programming, big data, and ML.
The pricing model proposal at Crabi is known as UBI (usage-based insurance). This means that the insurance premium is calculated according to the user’s behavioral data (generated by telematics devices, mobile app, social network, etc.). The initial work of this model begins with generalized linear models and scales up to machine learning algorithms. Among my main responsibilities:
I began my internship at Crabi while it was an early-stage startup in R&D. My main responsibilities were: