Description

I am a Data & AI Consultant specialized in industrial performance and operational optimization, with several years of experience delivering impactful solutions in complex environments.

I design and deploy end-to-end data solutions that help organizations improve efficiency, reduce delays, and make better data-driven decisions.

My expertise includes:

Production performance monitoring and optimization

Data analysis and advanced analytics

Machine learning models (prediction, anomaly detection)

Process automation to reduce manual workload

Data pipelines and transformation (SQL, Python, PySpark)

Interactive dashboards and decision-support tools

I work closely with both business and technical teams to build solutions that are not only technically robust, but also practical and adopted on the field.

My goal:

turn data into concrete business impact.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent
Arabic
Native or bilingual
Spanish
Basic

Workplace preferences

Remote only

Primarily works remotely

Confidential
Data Scientist – Industrial Performance & Optimization
AVIATION AND AEROSPACE
October 2023 - Today (2 years and 8 months)
Toulouse, France
Context

Worked within an industrial production environment to improve operational performance, reduce delays, and enhance decision-making using data.

Key Contributions:

Designed and deployed a real-time production monitoring system to track performance and identify bottlenecks
Developed predictive models to anticipate production issues (delays, missing parts, anomalies)
Built interactive dashboards for operational teams to monitor KPIs and support decision-making
Automated manual processes to reduce workload and improve data reliability
Performed advanced data analysis to identify inefficiencies and optimization opportunities
Collaborated closely with both technical and operational teams to ensure adoption of solutions
Business Impact
Improved visibility on production performance and operational KPIs
Reduced production delays through early detection of issues
Optimized operational processes leading to time savings for teams
Increased adoption of data-driven decision-making across teams
Reduced manual workload by ~30%
Improved production tracking accuracy
Enabled near real-time monitoring (updates every few minutes)
intelligence artificielle Python SQL JavaScript Machine learning
Aubert et Duval
Data Scientist – Digital Transformation & Process Optimization
RAW MATERIALS INDUSTRY
September 2022 - September 2023 (1 year)
Pamiers, France
Context

Led a digital transformation initiative within a manufacturing environment to replace manual and paper-based processes with a data-driven solution, improving efficiency and traceability.

Key Contributions

Designed and developed a digital application to replace legacy paper-based quality control processes
Automated data collection and validation to improve reliability and reduce manual errors
Collaborated directly with operational teams to understand workflows and co-build the solution
Delivered end-to-end solution: from problem definition to deployment and user training
Created user-friendly interfaces to ensure adoption by non-technical users
Developed documentation and training materials (guides, videos) for smooth onboarding
Business Impact

Replaced over 20 years of manual paper processes with a digital solution
Significantly improved data reliability and traceability
Reduced operational workload and human errors
Accelerated project delivery (2-year roadmap completed in ~10 months)
Achieved strong user adoption through close collaboration with field teams
Gestion de projet Process Optimization Python Cloud AWS Base de données
airbus
Ingénieur data analyste industrielle
AVIATION AND AEROSPACE
April 2022 - Today (4 years and 2 months)
Toulouse, France
Autonomie et expertise : Prise en charge complète du projet en l'absence d'une équipe technique dédiée.
Alignement des équipes : J'ai réussi à obtenir le consensus des managers sur les besoins clés du projet en gérant les interactions entre les équipes métiers.
Développement de dashboards interactifs à destination des équipes opérationnelles développés sur Skywise
Harmonisation des outils de monitoring pour un suivi unifié de la performance
Exploitation de la plateforme Skywise pour la récupération, le traitement et la visualisation de données industrielles
Rédaction de la documentation fonctionnelle et technique à destination des utilisateurs et des développeurs
Skywise Palantir Foundry Slate Python SQL

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Ingénieure en mathématiques appliquées et IA
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2021
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