Data Analytics Engineer with four years of experience enhancing data efficiency and accessibility. Skilled in blending operations research with AI, I focus on machine learning, big data, and creating intuitive visualizations. Developed Python tools for 20+ Data Engineers and Analysts and designed dashboards for streamlined data analysis. Passionate about transforming complex datasets into actionable insights, my journey is underpinned by a unique foundation that enriches my approach to data.
Transformed battery supply chain analytics, significantly reducing emissions and enhancing data collection and analysis efficiency for sourcing professionals.
Sept. 2023 - Dec. 2023Enhanced mining operations and equipment efficiency, significantly cutting operational delays and improving resource quality through innovative digital solutions.
June 2023 - Aug. 2023Guided a diverse student team to innovate traffic and data management in nonmetal mines, significantly enhancing efficiency and accuracy with AI and advanced scheduling systems
Jan. 2022 - Dec. 2022Calibrated algorithms in advanced mining digital twin software, boosting modeling efficiency and GPS accuracy, leading to significant cost savings and operational improvements.
Nov. 2020 - Dec. 2021Collaborated with OH&S, Fleet Management, and Planning teams, using technology to eliminate incidents and enhance safety in haulage operations.
Jan. 2019 - Jan. 2020Applied research on a degradation model for haul trucks' tires - Exhibitor at the XXIII Seminar on Asset Management.
July 2017 - Dec. 2017Majored in Mining Engineering.
Awarded the Outstanding Student Award in 2013. Graduated in the top 20 percent.
© 2024 Luis Larota, MSc