My name is Phil, and I'm an Engineer and Data Scientist. I'm currently a DS at Uber, where I help the team building a magical payment experience.
Before joining Uber, I was an early employee at kencko. During my tenure, I built and maintain the company's data stack and helped grow the business.
I majored in CS & Engineering at the Polytechnic University of Milan and Data Science at the Poliécnica de Madrid in Spain.
At Uber, I help stakeholders design products around payments and measure their success with randomized experiments.
In the Money team, we run experiments that impact 20M daily trips, equivalent to more than $300M in gross bookings.
My role is to ensure people can add payment methods and pay seamlessly using the app when they request a trip.
At kencko, I was an early employee and the first Data Scientist. I built the company's data stack, ETL pipelines, and BI tools (GDS and Looker)
I was also in charge of designing the most strategic KPIs measuring the acquisition and retention of subscribers.
During my tenure, I've assisted the CEO with strategic data that helped secure $10M in Series A funding featured on Tech Crunch.
At Geoblink I worked with geo-located datasets to build machine learning models estimating the unemployment and disposable income of Spanish households at a high level of granularity.
The project included the design of ETL pipelines on Airflow for fetching, transforming, and storing data in an S3 bucket and model development.
My work was awarded the highest grade at the Poliécnica de Madrid as part of my Master's thesis.