Freelancer profile translated to English.
Back to original languageAbout Khelef
Expert in industrial AI and Data-Driven Manufacturing transformation with 15+ years of experience at the heart of production environments. Strategic and operational referent capable of designing, managing, and deploying robust industrial data architectures (IIoT, Edge, Cloud, on-premise), integrated with IoT, MES, ERP, and SCADA ecosystems. Pioneer of Generative and Agentic AI applied to the manufacturing industry, with large-scale deployments covering anomaly detection, predictive maintenance, energy efficiency optimization, and automated customer support. Key contact for industrial and IT management, with a strong results-oriented culture and a proven ability to create measurable business value.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- HolisticViewHead of Industrial AIAGRICULTUREJanuary 2025 - Today (1 year and 5 months)Paris, France• Define and manage the industrial data strategy: architecture, IIoT data collection, processing, and valorization• Design hybrid industrial data architectures (Edge / Cloud / On-premise) ensuring interoperability with existing systems (IoT, MES, ERP)• Identify opportunities for production process optimization: downtime reduction, quality improvement, energy optimization• Lead Generative and Agentic AI (MCP) initiatives to automate industrial workflows and customer support• Ensure active technological watch: Digital Twin, Edge AI, Responsible AI, new industrial performance models• Support industrial clients in their transition to a pragmatic and measurable Data-Driven Manufacturing model
- TEEPTRAKChief Data Scientist / Lead Data ManufacturingAUTOMOBILENovember 2021 - March 2025 (3 years and 4 months)Paris, FranceInternational industrial IoT leader (5 countries, 250+ manufacturing sites, France, China, USA, Spain, Belgium).Strategic & Operational Missions• Define the industrial data strategy and manage its end-to-end execution, from IoT data collection to AI model deployment• Design and oversee the integration of data solutions: multi-source ingestion (sensors, MES, ERP), real-time pipelines, storage, and visualization• Analyze production data to identify performance levers: reduction of downtime, quality, predictive maintenance, energy efficiency• Build decision-making dashboards for operational teams and management: production KPIs, real-time alerts, ROI of data initiatives• Manage data projects end-to-end: scoping, design, deployment, production, and tracking of created value• Train and raise awareness among client teams on a data culture and data-driven decision-making
- Epsilon FranceSenior Data Science & Industry ConsultantE-COMMERCEJanuary 2019 - January 2021 (2 years)Paris, FranceHigh-impact data missions for large industrial and service groups.• SNCF -- Management of the passenger mobility analysis and prediction program; data architecture on PySpark, Databricks, MS Azure, and Power BI -- 9 months• FNAC & DARTY -- Management of a multi-platform customer knowledge analysis program (R, PySpark, HBase, Hadoop, GCP) -- 5 months• R&D -- Multi-modal product similarity project (CNN Transfer Learning + BERT NLP) -- 6 months
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Education
- Master -- Statistiques, Informatique et Mathematiques Appliquees pour la gestion de production2015Master -- Statistiques, Informatique et Mathematiques Appliquees pour la gestion de production
- Certificat en Management de Projet2012Certificat en Management de Projet
Certifications
- MLOPSCoursera2021