Diana Lorena Lopez Roman

Diana Lorena Lopez Roman has a diverse work experience in various roles. Diana Lorena began their career as a Catedrático Universitario at Universidad de Manizales in 2015. Later, in 2017, they joined Grupo ASD as a Delegado Regional, where they trained teams and monitored activities for the ICFES project. In 2019, they worked as an Investigador Social at Universidad de Caldas. Recently, starting in January 2023, they are currently employed as a Software QA Engineer Junior at Newshore, a FLYR Labs company. Additionally, they were a part of the Equipo de Diagnóstico Proyecto Social at Universidad de Manizales from September to November 2021, contributing to a socio-economic study for informal vendors in Manizales. Throughout their career, Diana has demonstrated their proficiency in different areas, including teaching, research, social investigation, and software quality assurance.

Diana Lorena Lopez Roman has a strong background in the field of social sciences. In 2005, they enrolled at the Universidad de Caldas and obtained a Bachelor's degree in Sociology in 2014. Building on their undergraduate education, Diana pursued a Master's degree in Social Sciences from the same university, which they completed in 2019. Their academic journey continued in 2021 when they participated in a professional development program at the Universidad de Caldas, where they obtained a Diploma in Data Analysis for Social Sciences.

In addition to their formal education, Diana also obtained a certification in "Working in a Digital World: Professional Skills" from IBM in July 2021, showcasing their commitment to enhancing their skills in the digital realm.

Looking ahead, Diana has plans to further expand their knowledge and capabilities in the field of data analytics. In 2022, they intend to enroll in the "Data Science for All" program offered by Correlation One, with a focus on fundamentals in data analytics and data processing. This program will add to their already impressive educational background and enable their to tackle analytical challenges with a data-driven approach.