Juan Manuel Montero Teng
About Juan Manuel Montero Teng
Juan Manuel Montero Teng is a Machine Learning Analyst at Delivery Hero in Berlin, Germany, with a background in data science and industrial engineering.
Current Position at Delivery Hero
Juan Manuel Montero Teng currently holds the position of Machine Learning Analyst at Delivery Hero, located in Berlin, Germany. In this role, he has developed predictive models designed to optimize delivery routes, contributing to the efficiency of logistical operations within the company.
Previous Experience at KiwiMe
Juan worked as a Data Scientist at KiwiMe in Colombia for 8 months in 2021. During his tenure, he contributed to a research project which focused on customer behavior analysis, providing valuable insights for the company.
Experience at Rappi
From 2019 to 2021, Juan Manuel Montero Teng served as a Data Scientist - Analytics Consultant at Rappi. He dedicated two years in this role, focusing on leveraging data to improve the company's analytics and operational strategies.
Educational Background
Juan completed his undergraduate studies in ingeniería industrial at Universidad de los Andes in Colombia, where he studied from 2014 to 2019. This solid foundation in industrial engineering has informed his data science expertise, particularly in logistical and operational contexts.
Certifications and Further Education
In addition to his formal education, Juan holds a certification in Advanced Machine Learning from Coursera. This certification underscores his commitment to continuous learning and proficiency in advanced machine learning techniques.
Conference Presentation on Machine Learning
Juan presented a paper on the applications of machine learning in logistics at the 2023 International Conference on Data Science in Berlin. This opportunity allowed him to share his insights and developments with industry peers and further establish his expertise in the field.
Volunteer Work as a Mentor
Outside of his professional responsibilities, Juan volunteers as a mentor through the Data Science for Social Good initiative. He provides guidance and support to aspiring data scientists, contributing to the growth and development of future talent in the field.