About Me

Luis Larota, MSc

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.

My Career

Tesla Inc - Palo Alto (USA)

Transformed battery supply chain analytics, significantly reducing emissions and enhancing data collection and analysis efficiency for sourcing professionals.

Sept. 2023 - Dec. 2023
Battery Data Sourcing Intern

Rio Tinto - Boron Site (USA)

Enhanced mining operations and equipment efficiency, significantly cutting operational delays and improving resource quality through innovative digital solutions.

June 2023 - Aug. 2023
Data Engineering Intern

South Dakota School of Mines & Technology (USA)

Guided 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. 2022
Graduate Research Assistant

TiMining (Chile)

Calibrated algorithms in advanced mining digital twin software, boosting modeling efficiency and GPS accuracy, leading to significant cost savings and operational improvements.

Nov. 2020 - Dec. 2021
Data Engineer

Las Bambas Copper Mine (Peru)

Collaborated with OH&S, Fleet Management, and Planning teams, using technology to eliminate incidents and enhance safety in haulage operations.

Jan. 2019 - Jan. 2020
Graduate Data Engineer

Pontifical Catholic University of Chile (Chile)

Applied research on a degradation model for haul trucks' tires - Exhibitor at the XXIII Seminar on Asset Management.

July 2017 - Dec. 2017
Exchange Student

Catholic University of Santa Maria (Peru)

Majored in Mining Engineering.
Awarded the Outstanding Student Award in 2013. Graduated in the top 20 percent.

March 2013 - Dec. 2017
B.Sc. in Mining Engineering

Publications

Models to Assess Fatigue Degradation
Luis Larota and Carlos Nakousi
Oral Presentation at the XXIII International Seminar on Asset Management, Santiago - Chile, 2017
[pdf] / [Blog] / [Talk]

Research & Expertise