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Brenda Hoyos

Bilingual data analyst
Habilidades
(Autoevaluación)
Power point 90%
Bizagi 90%
Excel 80%
Power bi 80%
R 80%
Python 70%
Sql 50%
Idiomas
English:
  • Speaking
    70%
  • Reading
    70%
  • Writing
    70%
Portuguese:
  • Writing
    70%
  • Reading
    70%
Perfil profesional

I improve processes in the part of quality and productivity under the ISO 9001: 2015 standard and Lean manufacturing methodologies I analyze processes to find opportunities for improvements in the part of efficiency, effectiveness and innovation

Experiencia laboral

Analista Investigador
universidad eafit, en colaboración con iluma alliance s.a.s. y argos s.a.s. | Enero 2020 - Enero 2022 (2 years)
Habilidades utilizadas

• Perform data analysis using R, Python, Excel, PowerBI, SQL, GraphPad and VOSViewer. • Design laboratory processes and take them to pilot scale. • Develop mathematical and machine learning models to predict responses • Implement new process performance measurement indicators • Advanced data visualization and "Story telling" techniques.

Logro principal

Publication of a scientific article in an A1 journal and three more in the process of being published. •Generation of an industrial secret in order to create a spin-off. Research internship at King Abdullah University of Science and Technology, Saudi Arabia with all payment for training.

Ingeniera De Procesos Y Calidad
innatu | Enero 2019 - Enero 2022 (3 years)
Habilidades utilizadas

• Analysis, improvement and creation of internal processes and for customers. • Implement quality and sustainability management systems. • Manage the documentation and standardization of processes, services and charges within the establishment. • Train on the implementation of indicators and performance programs.

Logro principal

•Improvement in company processes above 20% of their initial state in different areas such as customer service, productivity, etc.

Process Analyst
corona colcerámica | Enero 2018 - Enero 2018

• Analyze potential failures that were affecting the production process and propose their respective improvement. • Design a mathematical model and subsequently a low-cost assembly that would allow obtaining important response variables to solve or have a quantitative indicator of the performance of the molds. • Carry out methodologies to analyze the problems detected on a laboratory scale and solve them.

Logro principal

Implementation of the assembly for measuring the quality of production at the Pan-American level.

Formación académica
Industrial Engineering
Universidad eafit | Undergraduate
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