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Samuel S.
Data Analyst

Sql
Python
C++
C#
Amazon Aws
Bio

Mechanical Engineer with extensive experience in data analysis and business intelligence, dedicated to optimizing processes and managing projects for enhanced efficiency. Expertise encompasses data, reliability, and risk requirements within the mining industry, supported by technical skills in Power BI and programming languages such as SQL and Python. The recent focus has been on utilizing data analysis to improve asset reliability and mitigate risks for mining assets, including dams and pits. Areas of interest include data analysis, business intelligence, numerical modeling, and reliability, with aspirations to further develop and apply these skills within the technology sector.

  • Mid-level Engineer
    3/1/2022 - Present

    Served as a Reliability and Data Analysis Engineer with a focus on Monitoring, Planning, and Control (MPC) of geotechnical assets within Southeast mining operations. Conducted in-depth analyses and diagnostics related to reliability using process data obtained from the Plant Information Management System (PIMS). Developed and implemented solutions when the maintenance plan failed to achieve expected results. Presented critical assessments of potential risks related to dams and mines to executive leadership. Managed maintenance contracts for geotechnical monitoring assets and the siren activation system. Delivered significant insights to executives regarding the effectiveness of maintenance and monitoring efforts in risk mitigation, utilizing local systems and data for informed decision-making.

  • Junior Engineer
    12/1/2020 - 3/1/2022

    Structured and initiated the geotechnical instrumentation maintenance process, developing technical procedures, maintenance plans, and maintenance map planning while calculating KPIs. Mapped newly installed assets, including level sensors, pressure control systems, siren activation, radar, and monitoring cameras for dams, and created taxonomy for asset registration in SAP. Defined maintenance strategies and coordinated the transition of the Risk and Prevention process to a newly established area, aligning with project focus and development principles.

  • Intermediate Planning Technician III
    4/1/2020 - 11/1/2020

    Played a pivotal role at a Geotechnical Monitoring Center, focusing on enhancing the Management and Performance System to mitigate environmental disaster risks and exposure. Instrumental in implementing a comprehensive Management System (VSP), overseeing the Maintenance Process, and spearheading performance projects using Agile Methodology and SCRUM, supported by DevOps for sprint and project phase management. Leveraged Power BI to develop reports and dashboards that monitor internal KPIs and effectively present them to the Geotechnical Executive. Defined and optimized KPIs for leadership reporting and managing action plans.

    Significantly contributed to the dam monitoring process by mapping risks in advance and ensuring the structural safety through rigorous adherence to processes and preventive measures. The successful outcomes led to the replication and standardization of project outputs by leadership and the Operational Excellence team across maintenance and reliability coordinations for geotechnics.

  • Intern
    1/1/2019 - 3/1/2020

    Gained experience in Performance and Management within the Operational Excellence domain. Conducted extensive data analysis and managed information to create and review processes aimed at improving management performance. Developed proficiency in Power BI for crafting detailed reports and dashboards, which were utilized to monitor internal KPIs and present findings in performance meetings with local leaders. Handled non-conformities and managed projects employing PDCA, Lean, and Six Sigma methodologies.

  • Mechanical Engineering at Federal University of Itajubá
    2013 - 2020

  • Reliability Engineering and Asset Management at Pontifical Catholic University of Minas Gerais
    2021 - 2023

  • Engineering - Sciences Without Borders at University of Liège – Belgium
    2015 - 2016

  • Master in Business and Technology in Data Science and AI at Sirius Education
    2023 - 2024

  • Microsoft Certified: Power BI Data Analyst Associate at Microsoft
    1/1/2024

Samuel is available for hire

Meet Samuel S.
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