Tomas Binder is a highly analytical Data Scientist with over three years of experience in the field, currently working as a Lead Data Scientist at Kaufmann Chile. With a Bachelor of Engineering in Industrial Civil Engineering from Universidad de Chile and a Diplomatura in Public Policy Analysis from Pontificia Universidad Católica de Chile, Tomas is skilled in developing Machine and Deep Learning models in Python using TensorFlow for applications such as credit risk prediction and customer churn rate analysis. Previous roles include positions as an Analyst in various sectors, where they demonstrated expertise in data processing, project evaluation, and market analysis. Fluent in English, Tomas is committed to continuous growth and mentoring within the data science community.
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