Michel Seixas
Data AnalystExpert in Artificial Intelligence at AUMOVIO
AUMOVIO
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Expert in Artificial Intelligence at AUMOVIO
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiast of engineering applications and passionate about artificial intelligence and optimal decision-making algorithms, I've been dedicating my work to seamless integrate these domains and build value-added solutions for real-world problems.
Udacity
Nanodegree, Deep Reinforcement Learning
January 1, 2019 – January 1, 2019
Polytechnic School, University of São Paulo
Doctor of Philosophy (Ph.D.), Operations Research
January 1, 2010 – January 1, 2013
Polytechnic School, University of São Paulo
Bachelor, Mechatronics, Robotics, and Automation
January 1, 2004 – January 1, 2008
AUMOVIO
Artificial Intelligence Expert
September 1, 2025 – Present
Toulouse, France
Continental
Reinforcement Learning Expert
December 1, 2020 – August 1, 2025
Toulouse, France
Continental
Machine Learning Data Scientist
July 1, 2017 – August 1, 2025
Toulouse, France
Groupe Casino
Machine Learning Data Scientist
October 1, 2015 – June 1, 2017
Groupe Casino
Machine Learning Data Scientist
November 1, 2013 – October 1, 2015
Petrobras
Operations Research Engineer
August 1, 2012 – February 1, 2014
Macaé, Rio de Janeiro, Brazil
IBM
Data Analytics, Optimization and Supply Chain Consultant
November 1, 2008 – November 1, 2013
Greater São Paulo Area
Hewlett-Packard
Intern
January 1, 2008 – October 1, 2008
Greater São Paulo Area
Cultural Fit Analysis
The candidate has a strong background in highly technical and research-oriented roles, which suggests a fit for innovation-driven cultures. The transition between various companies and roles (e.g., from Operations Research to Machine Learning Data Scientist to AI Expert) demonstrates versatility. However, the target role of 'Data Analyst' might be a step down from their 'AI Expert' and 'Reinforcement Learning Expert' roles, potentially indicating a mismatch in career trajectory or expectations. The breadth of experience is strong, but the direct alignment with a pure 'Data Analyst' role, which often focuses more on reporting and dashboarding rather than advanced ML/AI model development, needs further clarification.
Soft Skills & Operational Fit
The candidate's extensive experience in diverse roles and industries suggests adaptability and problem-solving capabilities. The descriptions of past roles indicate a focus on applying advanced analytical techniques to real-world business problems, which aligns with operational fit for data-driven organizations. However, without psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.