Lucas A.Data Scientist
Skills
A highly skilled data scientist and computer engineer with a Bachelor’s degree in Computer Engineering from Universidade de Araraquara, a Master’s in Computer Science and Computational Mathematics from the Instituto de Ciências Matemáticas e de Computação at USP, and a recent MBA in Data Science from USP/Esalq. Currently a doctoral candidate, engaged in advanced research focusing on machine learning applications for data quality assessment. Proven ability to apply theoretical knowledge to practical challenges, illustrated by substantial experience at Ford, where innovative facial recognition systems were developed utilizing advanced programming skills in Python and machine learning frameworks. Demonstrates strong analytical capabilities, collaborative spirit, and effective communication skills while mentoring MBA students.
Advisor - MBA Data Science & Analytics
1/1/2023 - Present
As an advisor for the MBA program, I guided students in their final projects and participated in evaluation panels, providing valuable feedback and support to enhance their learning experience.Data Analyst / Researcher
1/1/2022 - 12/1/2023
In a role focused on developing an artificial intelligence system for facial recognition, I utilized various Python libraries to analyze emotional feedback regarding new vehicle evaluations, honing my skills in data management and innovative solution crafting.
Doctorate in Mathematical and Computer Sciences at University of São Paulo (USP) - Institute of Mathematical and Computer Sciences
2019 - 2025MBA in Data Science and Analytics at MBA USP/Esalq
2021 - 2023Master's in Mathematical and Computer Sciences at University of São Paulo (USP) - Institute of Mathematical and Computer Sciences
2016 - 2019Bachelor's in Computer Engineering at University of Araraquara (Uniara)
2011 - 2015
Extension University Course in the Specialization Modality: MBA in Data Science and Analytics at USP - University of São Paulo - ESALQ
10/1/2021
Lucas is available for hire
Hire Lucas A.All Howdy Candidates are vetted for skills and english proficiency.