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Poker Offering Expert
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Pierre and Marie Curie University
Master of Science (M.S.), Artificial Intelligence, Pattern Matching, and Applications (DEA IARFA)
January 1, 2003 – January 1, 2004
EPF Engineering School
Engineer's degree, Computer Software Engineering
January 1, 1998 – January 1, 2003
Betclic Group
Poker Offering Expert
June 1, 2025 – Present
Vitesco Technologies
Senior Data Scientist
October 1, 2022 – June 1, 2025
Toulouse, Occitanie, France
Continental
Data Scientist
May 1, 2017 – October 1, 2022
Toulouse Area, France
Self-Employed
Professional Online Poker Player
March 1, 2010 – October 1, 2015
Région de Paris, France
Dassault Systèmes
Software Engineer
April 1, 2006 – March 1, 2010
Vélizy, France
CNES (via RS2I)
Software Engineer
June 1, 2005 – March 1, 2006
Paris, France
LIP6
Artificial Intelligence Researcher (internship)
April 1, 2004 – October 1, 2004
Greater Paris Metropolitan Region
Pacte Novation
Software Engineer (internship)
January 1, 2003 – July 1, 2003
Greater Paris Metropolitan Region
Deep Learning Nanodegree
Udacity
June 24, 2026 – Present
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
Machine Learning, by Stanford University
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse career path, including significant time as a professional poker player, indicates a unique blend of analytical rigor and unconventional problem-solving. Their experience spans traditional software engineering, advanced data science, and strategic roles, suggesting adaptability and a broad perspective. The move into a 'Poker Offering Expert' role after extensive data science experience might indicate a desire for roles with direct business impact or a shift in career focus. This diversity could bring a fresh perspective to a team, but also requires understanding the candidate's long-term career aspirations to ensure alignment with the target role's growth path. The target role of 'Data Analyst' is well-aligned with their core data analysis and visualization skills, though their senior data scientist experience suggests they might be overqualified for a purely analytical role without modeling responsibilities.
Soft Skills & Operational Fit
The candidate's experience as a 'Poker Offering Expert' and 'Professional Online Poker Player' suggests strong analytical thinking, strategic decision-making, and risk assessment skills. The descriptions of leading technical teams and coordinating with process teams indicate good communication and collaboration abilities. The transition from software engineering to data science and then to a more strategic role shows adaptability and a continuous learning mindset. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is limited.