Hi, I'm Icaro Azevedo, a Production Engineer with an MSc in Big Data & Business Intelligence. I specialize in Industry 4.0 and refractory management for steel plants, combining process knowledge with data analytics (Excel, Power BI, SQL, Python) to improve performance and reduce costs. I build dashboards and predictive models to support data-driven decisions and drive practical, scalable improvements in manufacturing operations. Over the past years I have led automation and wear-analysis initiatives at ArcelorMittal and IBAR, designed robotic control systems with measurable performance gains, and collaborated across Brazil and Japan on process improvements. I hold certifications such as the Innovation Excellence Award (2025) and Employee of the Year (2023, 2025), and I completed the MIT Smart Manufacturing program to deepen my expertise in Industry 4.0.

Icaro Azevedo

Hi, I'm Icaro Azevedo, a Production Engineer with an MSc in Big Data & Business Intelligence. I specialize in Industry 4.0 and refractory management for steel plants, combining process knowledge with data analytics (Excel, Power BI, SQL, Python) to improve performance and reduce costs. I build dashboards and predictive models to support data-driven decisions and drive practical, scalable improvements in manufacturing operations. Over the past years I have led automation and wear-analysis initiatives at ArcelorMittal and IBAR, designed robotic control systems with measurable performance gains, and collaborated across Brazil and Japan on process improvements. I hold certifications such as the Innovation Excellence Award (2025) and Employee of the Year (2023, 2025), and I completed the MIT Smart Manufacturing program to deepen my expertise in Industry 4.0.

Available to hire

Hi, I’m Icaro Azevedo, a Production Engineer with an MSc in Big Data & Business Intelligence. I specialize in Industry 4.0 and refractory management for steel plants, combining process knowledge with data analytics (Excel, Power BI, SQL, Python) to improve performance and reduce costs. I build dashboards and predictive models to support data-driven decisions and drive practical, scalable improvements in manufacturing operations.

Over the past years I have led automation and wear-analysis initiatives at ArcelorMittal and IBAR, designed robotic control systems with measurable performance gains, and collaborated across Brazil and Japan on process improvements. I hold certifications such as the Innovation Excellence Award (2025) and Employee of the Year (2023, 2025), and I completed the MIT Smart Manufacturing program to deepen my expertise in Industry 4.0.

See more

Language

Portuguese
Fluent
English
Advanced
Spanish; Castilian
Intermediate

Work Experience

Specialized Refractory Operator (Steel Plant) at ArcelorMittal
April 1, 2022 - Present
Support refractory trials and wear analysis for BOF/LD, RH, and ladles. Develop Power BI dashboards using SQL/DAX. Built predictive wear models using Python/ML. Performed daily inspections across steelmaking areas.
Specialized Refractory Operator at ArcelorMittal
April 1, 2022 - Present
Wear analysis and refractory trials for BOF/LD; wear monitoring and predictive wear dashboards using SQL and Python; daily inspections across steelmaking areas.
Technical Specialist – Refractories at IBAR
June 1, 2018 - March 1, 2022
Designed and optimized robotic control system, achieving 12% performance improvement; coordinated testing and validation, ensuring compliance with industry standards; contributed to a 15% reduction in system failures.
Undergraduate Intern at Shinagawa
June 1, 2016 - May 1, 2018
Created process controls and monitoring tools still used today; automated reporting and controls with VBA; collaborated with Brazil/Japan teams.

Education

Master of Science (MSc) in Industry 4.0 Specialist at Massachusetts Institute of Technology (MIT)
September 1, 2022 - September 1, 2023
Bachelor of Engineering in Production Engineering at Estácio de Sá University, Vila Velha, Brazil
January 11, 2030 - January 3, 2026
Master’s in Big Data & Business Intelligence at European Business School of Barcelona
January 11, 2030 - January 3, 2026
B.E. in Production Engineering at Estácio de Sá University
January 11, 2030 - January 3, 2026
Smart Manufacturing – Industry 4.0 at Massachusetts Institute of Technology (MIT)
September 1, 2022 - September 1, 2023

Qualifications

Innovation Excellence Award
January 1, 2025 - January 3, 2026
Employee of the Year
January 1, 2023 - January 3, 2026
Employee of the Year
January 1, 2025 - January 3, 2026
Best Generative AI Project for Steel Production
May 1, 2023 - June 30, 2025
Innovation Excellence Award
January 11, 2030 - January 3, 2026
Employee of the Year
January 11, 2030 - January 3, 2026
Best Generative AI Project for Steel Production
May 1, 2023 - June 1, 2025

Industry Experience

Manufacturing, Software & Internet, Professional Services, Education