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Juan Fernando Aldana Bohorquez has a diverse work experience in the field of Data Science. Juan Fernando currently holds the position of Lead Data Science at Tenpo since 2022. Prior to that, they worked as a Senior Data Science at Konecta Corporativa from 2017 to 2022, where they implemented machine learning models for customer segmentation and anomaly detection in transactional systems. Juan Fernando also worked as a Junior Data Science at Konecta Corporativa from 2017 to 2018, where they automated payroll calculations and created process optimization models.

In 2021, Juan worked as a Consulting Data Science at Mercanet For Sales Management, where they developed automation processes for text extraction and created machine learning models to extract patterns from texts. Juan Fernando also served as a Data Science coach at Acámica from 2020 to 2021.

Before that, Juan worked as a Consulting Data Science and Big Data at Burger King from 2020 to 2021, where they created a spark pipeline for data consolidation and automation. Juan Fernando also worked as a Consulting Data Science at Emermedica Oficial from 2018 to 2020, where they implemented machine learning models for client retention and capacity forecasting.

Juan started their career as a Junior Analyst at Allus Global BPO Center from 2016 to 2017, where they created text models using NLP techniques.

Overall, Juan Fernando Aldana Bohorquez has demonstrated expertise in various aspects of Data Science, including machine learning, automation, and data analysis.

Juan Fernando Aldana Bohorquez has a Bachelor's degree in Statistics from Universidad Nacional de Colombia, which they obtained between 2011 and 2016. Juan Fernando then pursued a Master of Science - MS in Analytical Engineering from the same university, completing it from 2020 to 2022. Concurrently, they also pursued a Specialist degree in Artificial Intelligence from Universidad Nacional de Colombia, which they completed from 2021 to 2022. Juan also obtained several certifications from Coursera, including "Detección de objetos," "Machine Learning Foundations: A Case Study Approach," "Sesenta años de inteligencia artificial," "Structuring Machine Learning Projects," and "AI For Everyone" during the latter part of 2020. No information is provided about any other formal education experiences or degrees after 2022.