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Zinki AI ¶¶ Data Science Master Degree at École Polytechnique of Paris
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
École Polytechnique
Master's degree, Data Sciences
January 1, 2016 – January 1, 2017
Ecole Nationale d'Ingénieurs de Tunis
Engineer's degree, Applied Mathematics
January 1, 2013 – January 1, 2016
Institut préparatoire aux études d'ingénieurs de Tunis (IPEIT)
Bachelor's degree, Mathematics and Physics
January 1, 2011 – January 1, 2013
Zinki AI
Chief Technology Officer
July 1, 2023 – Present
PacketAI
Machine Learning Engineer
December 1, 2019 – July 1, 2023
Greater Paris Metropolitan Region
CAPFI Groupe
Data Scientist
September 1, 2018 – December 1, 2019
Paris, Île-de-France, France
Infogreffe
Data Scientist Consultant
December 1, 2017 – June 1, 2018
Greater Paris Metropolitan Region
Datategy
Data Scientist
November 1, 2017 – August 1, 2018
Paris Area, France
GE Power
Machine Learning Engineer
May 1, 2017 – October 1, 2017
Greater Paris Metropolitan Region
MASS Analytics
Data Scientist
February 1, 2016 – June 1, 2016
Tunisia
Cynapsys It Hotspot
Robotics Engineer
August 1, 2015 – September 1, 2015
Tunisia
Machine Learning Engineering for Production (MLOps)
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
DAT257x: Reinforcement Learning Explained
edX
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Linear Regression and Modeling
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Inferential Statistics
Coursera
June 24, 2026 – Present
Introduction to Probability and Data
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
edX Honor Code Certificate for Autonomous Navigation for Flying Robots
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background working in various companies from startups (Zinki AI, PacketAI) to larger corporations (GE Power, Infogreffe). The progression from Data Scientist to Machine Learning Engineer and then CTO indicates ambition and adaptability. However, the target role of 'Data Analyst' is a step down from their recent CTO and Machine Learning Engineer roles, which might indicate a potential mismatch in career trajectory or expectations. The breadth of skills and project diversity suggest an ability to adapt to different environments.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight problem-solving, analytical thinking, and project management (Agile Scrum). The CTO role at Zinki AI suggests leadership and strategic thinking. However, without psychometric test results, a definitive assessment of work attitude, stress handling, and team collaboration is not possible.