FRENCH-SPEAKING SWITZERLAND · GENEVA · VAUD · REMOTE
Freelance data analyst and AI automation specialist, serving businesses in Geneva, Lausanne and across French-speaking Switzerland (as well as France). From data collection to decision-ready dashboards, all the way to AI agents and automations truly embedded in your processes. A full-stack developer’s approach applied to data: what gets analysed also ships to production, monitored and maintained.
BASED IN MIES (VD), BETWEEN GENEVA AND LAUSANNE · REPLY WITHIN 24H
Centralizing sources, cleaning and modelling, then surfacing it in clear, actionable dashboards. The goal is not a pretty chart, but a faster, better-informed decision.
Identifying high-volume repetitive tasks, then deploying automations and AI agents (LLM, RAG) connected to your tools. Every automation is tested, monitored and shipped, not a prototype left to gather dust.
Centralizing sources, deduplication, normalizing formats and dates, then consistency and quality checks. The result: a clean, reliable file, ready for analysis and reporting.
Remote work across French-speaking Switzerland and France, with occasional on-site visits possible around Lake Geneva.
Fixed-price per project or time-and-materials at a daily rate, depending on scope. An initial scoping workshop sets the budget and priorities before any commitment.
A data analyst turns your existing data into KPIs and decisions (reporting, dashboards, analysis). A data scientist builds predictive models. Here the focus is on immediate decision value and automation, predictive models included when the need justifies it.
Projects are run mainly remotely, with occasional on-site visits possible in Geneva, Lausanne and the Lake Geneva area for scoping workshops or key milestones.
On the data side: Power BI, Looker, SQL, Python and dbt for reporting and pipelines. On the AI side: LLMs, RAG and automation orchestrators (n8n, Make) integrated with your existing tools.
Yes. A data audit, a dashboard or an AI automation proof of concept often makes a good first milestone, before a broader engagement if the results follow.
Yes: inconsistent columns, duplicates, mixed dates and formats, empty cells, all of it is reworked and made reliable. The deliverable is a clean, documented file, along with reusable cleaning rules for your future exports.