Data and AI builder focused on practical tools for decision-making, public-sector innovation, and operational intelligence.

I build data and AI tools for people who need to understand complex situations, make decisions under constraints, and turn messy information into usable systems.

My work sits between engineering, strategy and public-interest technology: RAG prototypes, decision dashboards, pricing analysis, operational intelligence, smart territories, digital sovereignty, cybersecurity and public-sector transformation.

I care about one thing in particular: making technology useful beyond the demo. Useful for decision-makers. Useful for operations. Useful for institutions, teams and people who have to act in the real world.

• AI-powered applications: RAG prototypes, document question answering, AI assistants, semantic search and business-facing copilots.
• Data products: dashboards, decision cockpits, pricing analysis tools, forecasting workflows and operational analytics.
• Machine learning workflows: pricing intelligence, feature importance, regression models, Bayesian analysis, predictive maintenance and benchmarking.
• Public-sector and smart territory tools: digital services, civic-tech prototypes, urban operations analytics and citizen-facing interfaces.
• Strategic prototypes: lightweight products that connect technical feasibility, user adoption and institutional constraints.

I am at my best when a project needs both technical execution and strategic clarity.

I can move from a notebook to a working prototype, from a dataset to a decision model, and from a technical architecture to a narrative that non-technical stakeholders can actually use.

Recent work and public contributions cover:

• AI and data products for decision-making
• RAG systems and document intelligence
• pricing analysis and operational performance
• smart cities, cognitive cities and smart territories
• public-sector digital transformation and govtech
• cybersecurity, digital resilience and data sovereignty
• public procurement, pre-sales strategy and technology adoption
• fintech, logistics, telecommunications and digital infrastructure

AI and data

Python, SQL, pandas, scikit-learn, XGBoost, PyMC, Jupyter, Streamlit, RAG, semantic search, vector-based retrieval

Data product and architecture

Data modeling, analytics engineering, dashboarding, automation, governance, technical documentation, proof-of-concept delivery

Web and product prototyping

HTML, CSS, JavaScript, PHP, WordPress, lightweight product interfaces

I also contribute publicly through talks, interviews, podcasts, panels and articles on AI, data, smart territories, digital government, cybersecurity, infrastructure and public-sector innovation.

These interventions reflect the same conviction that drives my technical work: data and AI only matter when they help people decide, coordinate and build better systems.

Public references are listed here: public interventions, publications and media.

I like turning unclear problems into tools people can use.

The work usually starts with questions like:

• what decision are we trying to improve?
• what information is scattered, underused or hard to understand?
• what should be automated, explained or made searchable?
• what would make this useful for both technical teams and decision-makers?

That is the space I enjoy most: building practical systems while keeping the strategic, institutional and human context in view.

• LinkedIn: linkedin.com/in/menahd-ouchenir/
• Twitter: @menahd
• Website: menahd-ouchenir.com