AI & AutomationInternship · 2026D&A Studio — Data & AI Platform (PaaS)
A platform that brings geospatial tracking data, an AI assistant on company documents, anomaly detection and BI dashboards into one place.
From raw data to dashboards, predictions and AI assistants. As a Data & AI Engineer, Anass turns raw data into decisions: he models data warehouses, builds ETL pipelines in SQL and Python, designs Power BI and Tableau dashboards with clear KPIs, trains machine-learning models, and builds RAG assistants and n8n automations on top of company data. Master's in Data Science & Big Data, based in Casablanca.
Real projects from internships, the Master's programme and personal work.
AI & AutomationInternship · 2026A platform that brings geospatial tracking data, an AI assistant on company documents, anomaly detection and BI dashboards into one place.
Data Analytics & BIAcademic project · 2025A star-schema data warehouse fed by ETL flows, with analytics dashboards for decision-makers.
AI & AutomationPersonal project · 2025An end-to-end workflow that reads documents with OCR, writes personalised emails with an LLM, sends them through Gmail and tracks everything in Google Sheets.
AI & AutomationAcademic project · 2025A microservices platform that matches CVs to job offers with machine learning and processes applications asynchronously.
Cloud & DevOpsAcademic project · 2024An end-to-end pipeline that builds, containerises and deploys a React app to Kubernetes on AWS on every push.
AI & AutomationAcademic project · 2024A predictive analytics web app that forecasts sales and shows the results through interactive charts.
Software EngineeringAcademic project · 2024A complete MERN blogging platform with authentication, content management and an AI assistant.
Power BI & Looker Studio Dashboards
I build Power BI and Looker Studio dashboards that turn your Excel files, databases or marketing tools into clear KPIs. I start with a clean data model (star schema), agree the KPI definitions with you, then deliver interactive pages with filters, automatic refresh and a short handover so your team can use them.
from 1,500 MAD
Data Engineering & ETL Pipelines
I design and build data pipelines that collect data from your files, APIs and databases, clean and model it, and load it into a warehouse ready for reporting. Pipelines are written in Python and SQL, scheduled, monitored, and include data-quality checks so problems are caught before they reach your dashboards.
from 2,500 MAD
AI Automation & RAG Assistants
I automate repetitive work with n8n and large language models — reading documents, writing and sending emails, updating sheets or CRMs — and I build RAG assistants that answer questions from your own documents with sources. I start with small, well-defined workflows that save time quickly, then extend them.
from 1,000 MAD
Artificial IntelligenceArtificial intelligence is useful to a Moroccan company when it removes a repetitive task or answers a real business question. Here are realistic use cases by sector, how to start and what to watch on data protection.
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Business IntelligencePower BI is Microsoft's tool for turning scattered data into interactive reports. Here is what it does, how its parts fit together, what it costs and when it is the right choice.
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AI & RAGRetrieval-augmented generation lets an LLM answer from your own documents instead of guessing. Here is the architecture I used in a real data platform, step by step.
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AutomationHow I replaced hours of copy-paste prospecting with one n8n workflow: OCR, an LLM that writes each email, Gmail sending and a tracking sheet.
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Business IntelligenceMost slow or wrong Power BI reports have a modelling problem, not a visual problem. Here is how I go from raw exports to a clean star schema and trustworthy KPIs.
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Data EngineeringWrong numbers in a dashboard destroy trust faster than slow reports. Here is the layered approach I use: rules first, statistics second, machine learning only when needed.
Read articleA Data & AI Engineer builds the data foundation (pipelines, warehouses, quality checks) and the products on top of it: dashboards for decision-makers, machine-learning models and AI assistants that use company data.
Whether you need a full-stack web app, a data dashboard, or a cloud-native deployment — I'd love to hear about it.