À propos de Sofiane
PI System :
- Building Asset Hierarchies with PI AF.
- Event Frames and Notifications.
- PI DataLink, PI Vision.
- PI System Administration.
- PI System Installation.
Seeq :
- IT Administration (install Seeq, connect data, manage permissions & security…).
- Create scripts, add-ons & extensibility features.
- Cleanse, Quantify, Visualize, & Predict.
- Publish dashboards and reports.
- Optimize pre-built tools & visualizations.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Arabe
Bilingue ou natif
Accepte de travailler sur site
Paris 14e Arrondissement (jusqu’à 50 km)
Expériences
- OSJ ConsultingIdustrial Data Analytics / PI System / SeeqENERGIEseptembre 2021 - Aujourd'hui (4 ans et 9 mois)Paris, FranceAs an analytics engineer, specialized in the OSIsoft PI System and Seeq for industrial data management and analytics.My expertise in the PI System include architecting asset hierarchies in PI AF, managing Event Frames and Notifications, and utilizing tools like PI DataLink, PI Vision, and Werusys for data visualization and reporting. I also have practical experience with PI System administration and installations.With Seeq, I manage the full lifecycle from IT administration (installation, connectivity, security) to developing custom scripts and add-ons, and performing advanced data cleansing, quantification, visualization, and prediction.
Recommandations
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Formations
- Seeq Super User CertificateSeeq Corporation2023● IT Admin Learning Path: ○ Install Seeq ○ Connect data ○ Administer users, data & content ○ Manage permissions & security ● Analytics Engineer Learning Path: ○ Identify events of interest ○ Cleanse, Quantify, Visualize, & Predict ○ Publish dashboards and reports ○ Maximize computational efficiency ● Data Scientist Learning Path: ○ Access data ○ Optimize pre-built tools & visualizations ○ Create scripts, add-ons & extensibility features ○ Deploy analytics at scale
- Data ScientistExecutive Education MINES Paris - PSL2022● Programming: Python, Numpy, Pandas ● Big Data / Database: Data Processing, SQL, PySpark ● Data Visualisation: Matplotlib, Seaborn, Boken ● Machine Learning: Classification, Regression, Clustering, Text Mining, Statsmodels, Size Reduction, NetworkX ● Deep Learning: KERAS, CNN, RNN, Tensorflow