Yannick Schindele
ML EngineerMSc, PMP | Software Engineering
VINCI Energies
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MSc, PMP | Software Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Tokyo Institute of Technology
Étudiant chercheur, Théorie des systèmes
January 1, 2009 – January 1, 2009
Mines Paris - PSL
Ingénieur Civil Mines ParisTech, MSc, Ingénierie et Mathématiques Appliquées
January 1, 2008 – January 1, 2012
VINCI Energies
Ingénieur projet logiciel
October 1, 2021 – Present
VINCI Energies
Ingénieur logiciel et apprentissage automatique
December 1, 2017 – October 1, 2021
YSCo
Consultant
August 1, 2017 – Present
Greater Calgary Metropolitan Area
VINCI Energies
Ingénieur logiciel
August 1, 2016 – December 1, 2017
SLB
Ingénieur terrain - Instrumentation électronique et photonique en fond de puits
April 1, 2014 – August 1, 2016
SLB
Ingénieur terrain
September 1, 2012 – April 1, 2014
CGGVeritas
Ingénieur R&D - Acquisition et traitement sismique
January 1, 2012 – June 1, 2012
Massy, France
Groupe Managem
Ingénieur minier
January 1, 2011 – June 1, 2011
Guemassa, Morocco
Site Reliability Engineering: Measuring and Managing Reliability
Coursera
June 24, 2026 – Present
Project Management Professional (PMP)
Project Management Institute
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
PyTorch for Deep Learning Professional Certificate
DeepLearning.AI
June 24, 2026 – Present
Inria "Machine learning in Python with scikit-learn"
France Université Numérique : le groupement d'intérêt public
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background, starting with field engineering roles before transitioning into software and machine learning. The education from Mines Paris - PSL and Tokyo Institute of Technology indicates a strong academic foundation. The career progression shows a clear shift towards ML engineering, aligning with the target role. However, the lack of diverse project descriptions outside of VINCI Energies makes it challenging to fully assess cultural adaptability across different environments. The certifications indicate a proactive approach to learning and development.
Soft Skills & Operational Fit
The candidate's resume mentions 'Teamwork', 'Problem Solving', and 'Change Management' as skills, indicating an awareness of soft skills. However, without specific examples or assessment data, it is difficult to fully evaluate the depth of these skills or their operational fit. The long tenure at VINCI Energies suggests stability and adaptability within a large organization.