BENAOU MOUAD

>> Designed and implemented Power BI data and reporting models : • Built multi‑fact star schemas • Performed data transformation and normalization • Optimized Power BI performance and visual design • Delivered dynamic, business‑oriented dashboards Tools: Power BI, DAX, Power Query

>> Big Data & AI Platform on Azure : • Designed and deployed a scalable Big Data & AI architecture across DEV / PRE‑PROD / PROD • Built end‑to‑end pipelines for ingestion, feature engineering, training, and deployment • Implemented reinforced network security (FQDN filtering, restricted outbound traffic, VNet + Private Endpoints, NSG segmentation) • Ensured full AI/Data service isolation compliant with security requirements • Delivered the first predictive use case on the new platform (Synapse + Azure ML + AKS) >> HSE Predictive Platform : Role Solution Architect– Lead Data Scientist – Scrum Master • Designed the technical architecture, analytical framework, models, and data structures • Automated training, scoring, and prediction publishing using Azure ML and Azure DevOps • Led cross‑functional teams (Data, HSE, Digital) as Scrum Master • Managed backlog, sprint planning, and delivery cadence • Designed CI/CD pipelines for the application connected to Azure ML scoring engine and operational data sources Tools: Azure ML, Synapse, Data Factory, Python, Azure DevOps pipelines, AKS, Azure Postgres, WSGI >> J-Control Tower — 360° EPC Project Platform (3D, Dashboards, CCTV, Drones, Chatbot): Role Functional & Technical Architect – AI/Analytics Lead – Scrum Master • Integrated Autodesk APS for 3D visualization, metadata extraction, and model synchronization • Integrated CCTV feeds to enable 360° operational project visibility • Led architecture across application, data, integration, performance • Coordinated multidisciplinary teams (Frontend, Backend, Data, AI, Cloud, Security, Business) • Designed a multi‑agent chatbot architecture routing queries to appropriate data sources (SharePoint, PostgreSQL) • Implemented Azure AI Search indexing, Azure AD SSO, quota tracking, fine‑grained permissions, and background tasks (Django/Celery) • Developed three collaborative agents extracting insights from SharePoint Excel files and executing warehouse queries Tools: Autodesk ( ACC , APS ) ; Genetec ; Azure Kubernetes services ; Azure Ai search ; Azure Ai foundry ; Azure Blob Storage ; Azure Synapse Analytics ; .

>> Improvement and optimization of data pipelines : • Optimized and improved production data pipelines • Reduced execution time by redesigning Spark cluster configuration • Improved churn prediction model performance • Reviewed and enhanced ETL, training, and inference logic • Defined Spark infrastructure requirements for DEV and PROD Tools: PySpark, python, Jira, Hue, Airflow

>> Migration Propensity & Recommendation: • Designed prediction and recommendation systems to migrate customers from prepaid to postpaid • Optimized large‑scale data mining processes across multiple sources • Built customer scoring systems for business and marketing teams • Optimized cost/revenue functions to maximize migration value • Monitored post‑deployment model and campaign performance Tools: sk-learn, keras, , sparkML, SAS Enterprise Miner , SAS Enterprise Guide >> Churn prediction : • Built churn prediction KPIs and feature pipelines • Automated data mining processes • Implemented model arbitration and performance tracking Tools: Dataproc, Cloud function, GCS, cloud repository, Vertex AI, pub/sub , BigQuery, pyspark, >> Analytics Process Automation : • Automated daily and weekly data mining processes • Optimized analytical workflows across data sources • Automated KPI refresh and reporting • Ensured cross‑department performance tracking and information sharing Tools: Pyspark, SQL, SAS Visual Analytics, Business Object, Python, elasticsearch, kibana.

Contributed to the design and operation of an analytics platform for market evaluation • Improved data quality and analytical reliability • Built trend prediction models for economic, social, and monetary indicators • Transformed complex analyses into actionable insights for clients Tools: python, R, Rshiny , Tableau

SAM multiplier analysis of economic and trade policy based on the Moroccan SAM 2013

a time-series analysis and modeling of the monthly observations of travel reciepts of Morocco

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