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Acerca del candidato
Ingeniero Industrial bilingüe (inglés C1) con énfasis en analítica de datos, actualmente cursando la Maestría en Investigación de Operaciones y Estadística; con experiencia identificando soluciones tecnológicas a través de la ciencia de datos y optimización de procesos operativos utilizando Python, R, Power BI, Excel y VBA; tiene sólidas habilidades recolectando, procesando y cargando (ETL) datos para la generación de insights que apoyen la toma de decisiones en la gestión, ejecución, seguimiento y control de proyectos y procesos empresariales.
Bilingual (C1 English) Industrial Engineer with a focus on data analytics, currently pursuing a Master’s degree in Operations Research and Statistics. Skilled in identifying technological solutions through data science and optimizing operational processes using Python, R, Power BI, Excel, and VBA. Possesses a strong proficiency in collecting, processing, and loading (ETL) data to generate insights that facilitate decision-making in project and business process management, execution, monitoring, and control.
Educación
Experiencia laboral
Responsibilities ● Develop and formulate projects and research with multidisciplinary teams, covering everything from data analytics to action planning and the implementation of programming languages and control systems. ● Provide strong guidance to research groups through accurate data analysis and results interpretation. ● Collect, transform, and analyze information related to project execution for report generation and results presentation. Achievements ● Designed and developed a desktop application for company material catalog access using Python's FastAPI library, HTML, CSS, JavaScript, MySQL, and Microsoft Excel, improving information accessibility by 100% as no previous applications were available. ● Designed and developed a Learning Management System (LMS) using Moodle as an integral part of the UN Environment Program (UNEP) project titled "Capacity Building for Cleaner and More Efficient Vehicles in Latin America and the Caribbean," impacting all Latin American countries, executed by the energy efficiency research group GENERGÉTICA. ● Took on a mentoring role in training approximately 1000 beneficiaries in the "Misión TIC 2022 Ruta 2" pilot program by MinTIC, operated by UTP, providing guidance, and resolving questions related to acquiring skills in programming languages like Python, Java, HTML, CSS, JavaScript, and Microsoft Excel. ● Participated as a mentor in training 10,000 beneficiaries in the first edition of the "Misión TIC 2022 Ruta 1" program by MinTIC, operated by UTP, addressing queries and guiding learning in programming languages such as Python, Java, HTML, CSS, and Microsoft Excel as well as software development package usage, including Django
Responsibilities ● Gather detailed data on company operations to identify resource usage and provide an economic interpretation. ● Analyze cost data and communicate findings clearly to decision-makers, enabling informed decisions and performance evaluation. ● Implement and maintain digital databases for efficient cost data recording, ensuring accessibility and security for strategic decision-making.
Responsibilities ● Formulate Research, Development, and Innovation (R&D&I) projects in collaboration with the R&D&I department to secure external financing resources. ● Manage the execution of Research, Development, and Innovation (R&D&I) projects within the company alongside the R&D&I team, with a specific focus on data optimization and analysis to drive growth and innovation in the organization. ● Collect, transform, and analyze data from the execution of R&D&I projects to generate and present detailed reports using Microsoft Excel, SQL language, R, and Python. Achievements ● Applied mathematical approaches to address personnel scheduling problem, conducting a comparison with a Tabu Search proposal to evaluate results, optimizing assignment time by 80%. ● Contributed to 50% of the project aiming to establish a driver bonus system, identifying driving profiles through the implementation of a K-means clustering method. ● Provided a 70% contribution to the analysis of demand elasticity in relation to fare prices in the public transportation system of the Central West Metropolitan Area (AMCO).