Data & AI Showcase

From raw data to decision

Explore the demonstrations along the data journey: capture an input, prepare it, industrialise the process, then use the result to support decisions or query information.

Explore the journey Contact me

7 demonstrations
Synthetic data
Business and technical perspective

Guided journey

Choose a starting point

Each demonstration has a primary place in the journey while potentially drawing on several technologies. This structure will remain clear as new use cases are added.

Stage 01

Capture

Turn incoming documents or messages into structured, actionable information.

Extract Classify

Document automation

Automated invoice extraction

Read several formats, extract the useful fields and produce a verifiable output.

InputPDF ProcessingExtraction and checks OutputJSON and CSV

Azure AI OCR Automation

Automated email routing

Classify a message and route it to the right team with an explainable decision.

InputEmail ProcessingClassification OutputBusiness queue

Workflow Classification Applied AI

Stage 02

Prepare

Clean, structure and transform data to make it reliable for analysis.

Clean Transform

Programmatic processing

Analytical pipeline in Python

Clean, enrich and aggregate an e-commerce dataset before reporting.

InputRaw CSV ProcessingRules and aggregations OutputKPI summary

Python Pandas Data quality

Relational analysis

SQL for reporting and data quality

Query tables, check data and prepare a dataset for decision support.

InputTables ProcessingJoins and checks OutputDataset

SQL Aggregations Data quality

Stage 03

Industrialise

Link processing steps, make checks explicit and control how results are published.

Control Publish

Applied data engineering

Data pipeline for reporting

Track a batch from ingestion to publication, with standardisation and explicit checks.

InputSources ProcessingContract and checks OutputPublished batch

Data pipeline Standardisation Observability

Stage 04

Use

Turn prepared information into decision support or directly accessible knowledge.

Support decisions Query

Support decisions

Decision-focused reporting with Power BI

Structure indicators and complementary views to make business insights easier to understand.

InputDataset ProcessingModel and measures OutputDashboard

Power BI DAX Data visualisation

Internal document assistant with RAG

Search a document collection and return a contextualised answer with its sources.

InputDocuments ProcessingContextual search OutputSourced answer

RAG Search Applied AI

One consistent design approach

Technologies change with the need. The approach remains clear, verifiable and focused on use.

01 Understand

Clarify the business need, inputs and expected outcome.

02 Structure

Choose the right level of transformation and modelling.

03 Verify

Make checks, limitations and production conditions visible.

Need to structure a Data, BI or AI initiative?

I am available to discuss a use case, an existing reporting setup or an automation initiative.

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