Experience in academic researchin Computer Vision, Data Science/AI teaching, and growth operations as a data analyst in the ride-hailing industry. Passionate about data-driven solutions and AI applications.

Lucas Mareque

Experience in academic researchin Computer Vision, Data Science/AI teaching, and growth operations as a data analyst in the ride-hailing industry. Passionate about data-driven solutions and AI applications.

Available to hire

Experience in academic researchin Computer Vision, Data Science/AI teaching, and growth operations as a data analyst in the ride-hailing industry. Passionate about data-driven solutions and AI applications.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate

Language

Spanish; Castilian
Fluent
English
Advanced
Italian
Beginner

Work Experience

Research Assistant at CIBIO - UTN
March 1, 2025 - Present
Developing an automation system using computer vision for bioengineering solutions and contributing to data-driven research in engineering contexts.
Teaching Assistant at UTN
August 1, 2024 - Present
Teaching Data Science course for final year Industrial Engineering students, preparing materials, guiding labs, and supporting student learning.
Research Assistant at GIAR - UTN
March 1, 2024 - Present
Developing an automated system using computer vision techniques for detection and counting in ecotoxicological tests; collaboration with the National Water Institute.
Lecturer and Lead TA at Le Wagon
February 1, 2024 - Present
Data Science / Data Analytics bootcamps across Europe, LATAM, and Africa, delivering curriculum and mentoring cohorts.
Growth Ops Intern at DiDi
June 1, 2023 - February 1, 2024
Defined growth marketing strategies to maximize passengers in LATAM; performed data analysis (Python & SQL), built dashboards, ran A/B tests, tracked KPIs, and managed weekly performance metrics and budgets.
Engineering Project Analyst & Intern at Midea Carrier
December 1, 2020 - October 1, 2022
Evaluated new products for mass production; defined BOMs; maintained cross-functional communication with international teams; conducted cost analyses and supported lab/government tests and certifications.

Education

BS Industrial Engineering at Universidad Tecnológica Nacional
March 1, 2019 - February 1, 2026
Artificial Intelligence Program at Beijing Institute of Technology
July 1, 2025 - August 1, 2025

Qualifications

SAE Research Scholarship
January 1, 2024 - December 31, 2025
Rectorate Research Scholarship
January 1, 2025 - December 31, 2025

Industry Experience

Computers & Electronics, Software & Internet, Education, Professional Services, Life Sciences
    paper Automated Deep Learning Estimation of Anthropometric Measurements for PCS

    Developed a Deep Learning system for automatic anthropometric estimation from 2D images, achieving sub-centimeter accuracy. Poster Presentation - XXV Argentine Congress of Bioengineering(SABI 2025), XIV Clinical Engineering Conference, and III Latin American Conference on Clinical Engineering(CLIC).

    paper Automatic Segmentation of Allium cepa Cells Using Unsupervised Computer Vision Methods

    Developed unsupervised Computer Vision method using SAM model and clustering for cell segmentation in Allium cepa pollution test (~96% accuracy). Research conducted in collaboration with the National Water Institute (INA).

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