Luis Miguel Marulanda Jaramillo
About Luis Miguel Marulanda Jaramillo
Luis Miguel Marulanda Jaramillo is a Data Engineer at Endava in Medellín, Colombia, with a background in data science and machine learning.
Company
Luis Miguel Marulanda Jaramillo is currently working at Endava as a Data Engineer in Medellín, Antioquia, Colombia. At Endava, his role involves developing propensity to subscribe models using Python and constructing data extraction and transformation pipelines.
Title
As a Data Engineer at Endava, Luis Miguel specializes in building data models, creating data pipelines, and utilizing Google Cloud for various data engineering tasks. His role emphasizes the use of Python for developing models and performing data extractions and transformations.
Education and Expertise
Luis Miguel obtained a Bachelor's degree in Systems Engineering from Universidad EAFIT, where he studied from 2009 to 2014. He further enhanced his expertise by achieving a Specialization degree in Analytics & Data Science from Universidad Nacional de Colombia during the period of 2017 to 2018. His academic background has provided him with a robust foundation in data science and analytics.
Background
Luis Miguel started his professional career as a Consultant at EY from 2013 to 2016. He then transitioned to working as a Data Engineer at Summan S.A.S for a year. From 2017 to 2019, he served as a Data Scientist at ARUS Tecnología + Información + Conocimiento. Following this, he worked as a Machine Learning Engineer at Rappi from 2019 to 2021 before joining Endava as a Data Engineer.
Achievements
Throughout his career, Luis Miguel has engaged in research to adopt newer techniques and technologies in data engineering. He has significant experience in implementing predictive analytics in production environments and has worked on enterprise data quality consultancy projects. His contributions include developing propensity models, constructing data pipelines, and leveraging Google Cloud for data engineering.