Freelancer profile translated to English.
Back to original languageAbout Philippe
Data Scientist | Python | SQL | Azure | GenAI
Do your industrial or customer data, orIoTdata, not yet produce all the expected value? Are you looking to **optimize your processes, reduce your costs**, or leverage **generative AI**? I support your teams in transforming your data into performance levers with **Data Science, Machine Learning, Python, SQL, Azure, and GenAI**.
Senior Data Scientistwith expertise in industrial projects andIndustry 4.0**. I handle projects end-to-end: data collection, **Big Data**, **MLmodeling, cloud deployment + integration. Objective: **move from raw data to operational ROI**.
Key Experiences:
-Michelin**: Deployment of a **predictive maintenancesolution for tires,25% reduction in maintenance costs**. **Big Dataanalysis,MLalgorithm optimization, andAzure/Snowflakedeployment.
-AddUp**: Exploitation of machine sensor **IoTdata for industrial monitoring.Predictive solutionin production,Power BI/GrafanaKPI dashboards,Python/SQLmodels.
-Industrial SMEs**: **Data/AIprojects - data diagnostics,LLM chatbots,customforecastingmodels, **RAG**.
Technical Stack:
- **Languages**: Python (Pandas, NumPy, scikit-learn), SQL
- **Cloud**: Azure (Data Factory, Machine Learning, Cognitive Services)
-AI/ML**: Machine Learning, **GenAI, LLM, RAG, Prompt Engineering
-Tools**: Power BI, Tableau, GitLab, Docker, Jupyter, **Hugging Face
Need aData Science, Azure, GenAI**, or **Machine Learningexpert?Free video callto define your objectives.Response within 1 hour.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Lille (up to 50km), Lyon (up to 50km), Marseille (up to 50km), Toulouse (up to 50km)
Experience
- MICROLIDEData Scientist | Industrial AI & Predictive MaintenanceINTERNET OF THINGS (IOT)March 2025 - September 2025 (6 months)Limoges, France🎯 **OBJECTIVES**:
- Develop anAI solutionfor industrial refrigeration unitmonitoring
- Implement a real-timedrift detectionsystem
- Create apredictive maintenancemodel to anticipate failures
- Optimizefood traceabilityviaIoTandData Science
🚀 **ACHIEVEMENTS**:*Successful deploymentof anindustrial AI solutionon critical refrigeration units- **24/7 Monitoring System**: automatic temperature drift detection
*40% Reductionin unplanned downtime throughpredictive maintenance*Real-time Dashboard**: visualization of critical food traceability **KPIs*IoT Integration**: connected sensors for temperature/performance **Big Data- **Operational ROI**: reduced maintenance costs + food compliance
🔧 **TECHNICAL STACK**:*Languages: Python(Pandas, NumPy, scikit-learn),SQL*AI/ML: Machine Learning**, predictive algorithms, **GenAI- **IoT & Data**: Temperature sensors, **Big Data**, industrial data pipelines
*Visualization**: **Power BIDashboards, industrial **KPIs**, automatic alerts🏭 **Sector**: Food industry, traceability, **Industry 4.0**, refrigeration unitsMission**: Autonomous **industrial AIConsultant🎖️Impact**: Securing the food cold chain - **Industrial IoTInnovation⚙️ **Specialty**: **Predictive maintenance**, industrial monitoring, food compliance - MichelinData Scientist | Predictive Maintenance & AIAUTOMOBILESeptember 2024 - Today (1 year and 9 months)Clermont-Ferrand, France🎯 **OBJECTIVES**:
- Develop apredictive maintenance solutionto optimize tire lifespan
- Deploy a robust and scalableMachine Learning model
- Leverage sensorIoTdata to anticipate tire wear
🚀 **ACHIEVEMENTS**:*Successful deploymentof the predictive solution onAzure Cloud*25% Reduction in costsfor customer maintenance (quantified ROI)*30% Increasein tire lifespan throughoptimized ML algorithms*Big Dataprocessing: analysis ofmillions of data pointsfrom sensors*Python Modeling**: development of custom **predictive algorithms*Azure/Snowflakeintegration for storage and processing ofindustrial data*DevOps Collaboration**: automated **MLOps pipelinefor continuous deployment🔧 **TECHNICAL STACK**:*Languages**: **Python(Pandas, NumPy, scikit-learn, Plotly),SQL*Cloud & Data**: **AzureMachine Learning, **Snowflake**, Azure Data Factory*ML/AI**: **Machine Learning**, predictive algorithms, **Data Science*DevOps**: **GitLabCI/CD, PyCharm, JupyterLab, Artifactory, SonarQube- **Data**: **Big Data, IoT**, predictive analysis, industrial KPIs
👥 **Team**: **Data Scientists, Data Engineers**, DevOps, Product Owner, embedded Python developers🌐Impact**: Globally deployed solution - **Industry 4.0Innovation🔗 **Project**: https://connectedfleet.michelin.com/fr/solutions-gestion-flotte/maintenance-predictive-pneus/ - AddUpData Scientist | IoT & Industrial MonitoringMECHANICAL ENGINEERINGDecember 2020 - August 2024 (3 years and 9 months)Clermont-Ferrand, France🎯 **OBJECTIVES**:
- Exploit massiveIoT datafrom additive manufacturingmachine sensors
- Develop apredictive maintenance solutionto optimize production
- Create areal-time dashboardfor industrialKPI monitoring
- Transform rawBig Datainto operationalMachine Learninginsights
🚀 **ACHIEVEMENTS**:*Successful deploymentof apredictive maintenance solutionon metal machines*Dynamic Grafana Dashboard**: real-time visualization of +50 **industrial KPIs*40% Improvementinpredictive algorithmperformance usingPython/SQL*Big Data IoTprocessing: analysis of millions of sensor data points from machines*Advanced Modeling**: development of custom **ML modelsfor manufacturing*24/7 Monitoring**: automated surveillance of **Industry 4.0processes- **Operational ROI**: reduced machine downtime through failure prediction
🔧 **TECHNICAL STACK**:*Languages: Python(Pandas, NumPy, Plotly, scikit-learn),SQL- **IoT & Data**: Industrial sensors, **Big Data**, real-time data pipelines
- **ML/AI**: **Machine Learning, Data Science**, predictive algorithms
*DevOps: GitLabCI/CD, PyCharm, JupyterLab,Azure👥 **R&D Team**: **Data Scientists**, R&D engineers, **Python developers**, embedded🏭Impact**: Optimization of additive manufacturing processes - **Industrial IoTInnovation⚙️Sector**: Metal additive manufacturing, **industrial monitoring, Industry 4.0
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Education
- Doctorate in Materials ScienceUniversity of Lorraine2013Travaux de recherches (thèse) cofinancé DGA / région Lorraine.
- Materials Science EngineerPolytech'Grenoble2010
Certifications
- Free Open CV BootcampOpenCV university2024
- Complete data science bootcampUdemy2022