Luis Maldonado
About Luis Maldonado
Luis Maldonado is a Teacher Assistant with extensive experience in data engineering and analytics. He has held various roles in different organizations, including positions at Epiq, Alcatel-Lucent, and Petrobras, and has a background in Mechatronics Engineering from Universidad Nacional de Colombia.
Current Role at Correlation One
Luis Maldonado serves as a Teacher Assistant at Correlation One since 2021. In this role, he contributes to the educational environment by supporting instructors and assisting students in their learning processes. His position allows him to leverage his extensive background in data engineering and analytics to enhance the educational experience.
Previous Experience in Data Engineering
Before joining Correlation One, Luis worked as a Data Engineer at SUPERINTENDENCIA DE VIGILANCIA Y SEGURIDAD PRIVADA in Bogotá, D.C., Colombia, starting in 2021. His responsibilities included designing and implementing data processing methodologies for the National Observatory of Security, which aimed to improve data infrastructure for scientific research and economic insights.
Background in Engineering and Analytics
Luis Maldonado has a strong foundation in engineering and analytics. He studied Mechatronics, Robotics, and Automation Engineering at Universidad Nacional de Colombia, earning a Bachelor of Engineering degree from 2003 to 2009. His career includes roles such as Technical Pre-Sales Specialist Engineer at Alcatel-Lucent and Quality Control Data Entry/Analyst at Epiq, where he developed skills in data analysis and project management.
Experience in Project Management and Development
Luis has held various positions that highlight his project management and development skills. He worked as a Project Engineer at Petrobras and as a Research Project Evaluator at S.C.A.R.E. His role as a Mechatronics Design Engineer at ASTECNIA S.A. further showcases his technical capabilities in engineering projects.
Contributions to Data Culture and Machine Learning
Luis has experience in deploying machine learning and statistical modeling algorithms to foster data culture within organizations. His work includes data acquisition, pipelining, and processing as part of a startup team focused on data-supported strategy, demonstrating his commitment to enhancing data-driven decision-making.