À propos de Wahiba
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.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Arabe
Bilingue ou natif
Espagnol
Notions
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- ConfidentialData Scientist – Industrial Performance & OptimizationAÉRONAUTIQUE & AÉROSPATIALEoctobre 2023 - Aujourd'hui (2 ans et 8 mois)Toulouse, FranceContextWorked 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)
- Aubert et DuvalData Scientist – Digital Transformation & Process OptimizationINDUSTRIE MATIÈRES PREMIÈRESseptembre 2022 - septembre 2023 (1 an)Pamiers, FranceContextLed 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
- airbusIngénieur data analyste industrielleAÉRONAUTIQUE & AÉROSPATIALEavril 2022 - Aujourd'hui (4 ans et 2 mois)Toulouse, FranceAutonomie 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 SkywiseHarmonisation des outils de monitoring pour un suivi unifié de la performanceExploitation de la plateforme Skywise pour la récupération, le traitement et la visualisation de données industriellesRédaction de la documentation fonctionnelle et technique à destination des utilisateurs et des développeurs
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Formations
- Ingénieure en mathématiques appliquées et IAPaul Sabatier2021Big Data, Optimisation combinateur, Optimisation dans les réseaux, Optimisation linéaire, Optimisation non linéaire, Théorie des graphes, Traitement d'image, Statistiques, Probabilités
- Ingénieure en Recherche Opérationnelle Optimisation et Management StratégiqueUniversité d'Alger2019