Juan Lucas Ibarra Sierra
About Juan Lucas Ibarra Sierra
Juan Lucas Ibarra Sierra is an AM ST Engineer at Endava in Bogotá, Colombia, with a background in data engineering and teaching assistance in Python programming.
Current Position at Endava
Juan Lucas Ibarra Sierra currently holds the position of AM ST Engineer at Endava in Bogotá, Distrito Capital, Colombia. He brings a wealth of experience in data engineering and programming to his role, contributing to the company's projects with his expertise in various programming languages and data analysis tools.
Previous Experience at Simetrik
Before joining Endava, Juan worked at Simetrik as a Data Extractor Engineer. During his 6-month tenure from 2021 to 2022 in Bogotá, he was responsible for extracting and managing data, leveraging his skills in data engineering and analysis to support the company's operations.
Role at PROTECCIÓN S.A.
In 2021, Juan held the position of Data Engineer at PROTECCIÓN S.A. for 6 months. During this period in Bogotá, Distrito Capital, he applied his expertise in data analysis and engineering to help manage and process the company's data resources, ensuring efficient data handling and utilization.
Teaching Assistant Experience
Juan has also contributed to academia as a Teaching Assistant at Universidad de los Andes - Colombia. He assisted in Python Programming and Python Data Structures courses from 2020 to 2021 for a duration of 5 months each in Bogotá, Distrito Capital. These roles involved guiding students through complex programming concepts and data structures, providing support in their understanding and application of Python programming.
Educational Background
Juan Lucas Ibarra Sierra completed his Bachelor in Computer Engineering at Universidad de los Andes - Colombia, studying from 2018 to 2022. His education laid a strong foundation in computer engineering concepts and practical skills, which he now applies in his professional roles.
Skills and Interests in Data Science
Juan is proficient in various programming languages including Java, Javascript, Python, and C. He has experience working with data analysis and statistics tools such as Knime. His interests lie in machine learning and data mining within the field of data science, demonstrating a commitment to advancing his knowledge and skills in these areas.