My name is Pedro Cortés. I love solving problems. More specifically, I love solving problems using code, maths and business knowledge.
I have always been an extremely curious person. That’s why 8 years ago I decided to study industrial engineering as it would allow me to learn how to deal with problems in many different fields.
My academic life has been particularly concerned with numerical computer simulation and real-life experimentation, especially in the field of fluid mechanics. During my master’s degrees I had the opportunity to spend a semester in Sweden, where I had my first contact with algorithmic computing and artificial intelligence, which planted the seed of my interest in data science.
After that, I started working as a facilities project engineer in the construction and retail sector. I realised that it was those projects with a high automation and data analysis component the ones I enjoyed the most. Therefore, I decided to water the data scientist seed inside me by updating my knowledge through a 6-month intensive training in artificial intelligence, machine learning, business analytics and data science with Python, SQL and Tableau.
My goal now is to start my career as a data scientist to help people and companies be more productive, make better decisions and create data-driven assets.
Developed a conversion rate optimisation (CRO) plan of 10 specific initiatives organized into 5 major business levers (number of views, conversion rate, cross-selling, purchase frequency and customer loyalty) to break the flat evolution of the company’s KPIs over the last few months and achieve an overall increase in ecommerce revenues.
Found the source of existing efficiency problems in two photovoltaic solar plants belonging to a renewable energy generation company by analysing data from their sensors and meters (irradiation, temperature, inverter efficiency, power…) in order to guide and optimize the efforts of the maintenance engineering team.