Peterson Vital
@petersonvital
Mechanical engineer leveraging data analytics and machine learning for operations.
What I'm looking for
I am a Mechanical Engineer with hands-on experience in data analytics and machine learning, focused on building analytical and predictive solutions to support business and operational decision-making.
At CIELO, I worked in multidisciplinary logistics squads analyzing large logistics and financial datasets, building KPIs and reports to monitor operational efficiency and customer satisfaction.
I supported development and analysis of statistical and machine learning models under senior guidance, applied agile methodologies (Scrum and Kanban), and conducted benchmarking to evaluate technologies and data solutions.
My background includes inventory management and production planning using SAP, improving inventory accuracy through structured processes, and a range of certifications in data analytics, cloud, AI, and BI tools that strengthen my technical toolkit.
Experience
Work history, roles, and key accomplishments
Advanced Analytics Intern
Cielo
Sep 2023 - Jun 2024 (9 months)
Supported logistics squads by analyzing large logistics and financial datasets, building KPIs and reports that informed operational decisions and improved delivery performance. Collaborated with stakeholders to translate requirements into data-driven solutions and supported development of statistical and ML models.
Apprentice - Engineering/Logistics
Marcopolo
Feb 2021 - May 2022 (1 year 3 months)
Supported logistics operations using SAP for inventory control, executed technical tasks and developed Excel-based operational reports, improving inventory accuracy by ~5% through audits and data validation. Applied technical training to strengthen planning and communication skills.
Education
Degrees, certifications, and relevant coursework
Faculdade Multivix
Bachelor of Science, Mechanical Engineering
2021 -
Pursuing a Bachelor of Science in Mechanical Engineering with coursework ongoing and expected completion in December 2025, combining engineering fundamentals with data analytics applications.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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