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Data science and AI
Data Science & AI
Analytics, data warehousing, machine learning, and LLM/MCP integration for real products.
We turn data into decisions: data pipelines, interactive dashboards, machine learning models, and AI/LLM integration into your products and processes.
What is included
- Data engineering and modeling
- Interactive dashboards
- ML models
- LLM / MCP integration
Sub-offerings
- Analytics dashboard (Streamlit/BI)
- Data warehouse and ETL
- Machine learning model
- AI/LLM integration into your product
Who it is for
Organizations that want to leverage their data or adopt AI thoughtfully.
Deliverables
- Deployed dashboard
- Data pipeline
- Report/model
- Documentation
Technologies
PythonRStreamlitSQLMCP/LLMs
How we work
From the first conversation to delivery, every phase ends with something you can review.
Discovery
We understand your goal, scope, and constraints.
Technical design
We define architecture, milestones, and success criteria.
Iterative development
We build in short cycles with reviewable deliveries.
Going live
We deploy, verify, and deliver with documentation.
Work delivered in Data science and AI
Projects already in production in this same category. They are a reference for the scope, the stack and the level of finish you can expect.
