Daniela Saavedra López

Daniela Saavedra López has worked in various positions since 2014. Her most recent role is Machine Learning Engineer I at Factored, where they were previously a Machine Learning Engineer Trainee. In 2018, they worked as a Data Scientist at Grupo Bancolombia, where they developed a credit score model, optimized and automated processes, and transformed and standardized credit study information. In 2017, they worked as a Data Consultant for The Cocktail and a Data Mining Analyst for WeDo Technologies. At WeDo Technologies, they developed data mining models for Oi-Brasil and NOS-Portugal. In 2014, they worked as a Lider de Proyecto and a Consultant and Data Analyst at PowerData SAS. In this role, they proposed and developed solutions to business problems through statistical modeling and data analysis.

Daniela Saavedra López has a diverse educational background. Daniela completed a Bachelor's degree in Economics and Finance and International Commerce from the Universidad del Rosario between 2010 and 2016. In 2016, they obtained a Diplomat in Data Mining in Strategic Processes from the Universidad EAN. That same year, they also completed a Course in Data Mining from the Universidad del Rosario. Daniela is currently pursuing a Master's degree in Statistics and Information Management with Specialization in Marketing Research and CRM from NOVA IMS Information Management School, which they began in 2016. Additionally, they have obtained two certifications, Neural Networks and Deep Learning from Coursera in 2020, and Machine Learning from cours in 2019.