Marcella Lenira Engel
About Marcella Lenira Engel
Marcella Lenira Engel is a Data Recognition Specialist currently employed at Trax Retail in Budapest, Hungary. She has a background in industrial engineering and extensive experience in data recognition processes, having previously worked at Renault Group in various roles.
Work at Trax
Marcella Lenira Engel has been employed at Trax Retail as a Data Recognition Specialist since 2022. In this role, she investigates errors in product recognition processes and implements corrections using the Jira system. Her focus is on developing image recognition solutions that enhance efficiency for multinational companies. Engel's work contributes to improving customer experiences by leveraging analytical thinking to visualize and understand data recognition solutions.
Previous Experience at Renault Group
Prior to her current position, Engel worked at Renault Group in various roles from 2017 to 2022. She served as a Process Engineering Intern for 11 months, followed by a year as a Project and Process Analyst in Curitiba, Paraná, Brazil. Engel then progressed to the role of Production Supervisor, where she worked for three years. During her tenure, she coordinated a new engine recognition deployment process, which aimed to enhance technology effectiveness and data collection techniques.
Educational Background
Marcella Engel has a diverse educational background. She studied at Grupo Educacional Opet, where she achieved a Technician degree in Computing from 2009 to 2011. Engel then pursued a Bachelor's degree in Industrial Engineering at Pontifícia Universidade Católica do Paraná, completing her studies from 2013 to 2018. She furthered her education with a Postgraduate MBA in People Management: Careers, Leadership, and Coaching at PUCRS, which she completed from 2019 to 2021. Additionally, she obtained a specialization in Green Belt from the same institution, studying from 2018 to 2020.
Internship Experience
Engel's early career included an internship at Faurecia as a Logistics Intern from 2015 to 2017. This experience provided her with foundational skills in logistics and operations. Her internships at Renault Group, including the Process Engineering Intern position, contributed to her understanding of engineering processes and project management, further preparing her for her roles in data recognition and analysis.