Hi, I’m Murilo Reis
I’m a Data & AI Specialist who turns messy, real-world data into clear decisions — dashboards, models, and automation that leaders can act on.
I’m currently a Data Analyst at Apple, working on the analytics and insight behind the numbers, and I take on freelance AI & automation work on the side.
I’ve spent countless hours on agentic AI & automation — building scripts and data products that drive decisions, save time, and cut cost. Example work is showcased across this site and on GitHub.
- −80% manual effort for freelance clients by engineering custom Python & RPA automation — from consultation through to end-to-end deployment.
- Terabytes of data engineered into Google BigQuery through scalable, governed ETL pipelines from disparate sources.
- CEMEA-wide sales visibility delivered through interactive Tableau dashboards and Playwright automation for Apple’s Sales BPR & Systems team.
- 5 languages spoken fluently, leading stakeholder management across multicultural, multi-regional teams.
Featured work.
Select a tool to filter the projects below.
CEMEA Sales Performance Dashboard
Freelance Automation & BI Solutions
See it on GitHub ↗ Ocean Drones — Autonomous Marine Data Platform
See it on GitHub ↗ Three of 9. The rest — Power BI models, forecasting, cloud pipelines — sit in the full archive, each written up end to end.
See all 9 projectsThe work, counted.
Every figure below comes from delivered engagements — dashboards in daily use, pipelines running unattended, hours given back to the people who used to do it by hand.
- 42+ Data projects delivered
- 1,900 hrs Manual work automated each year
- 12 TB Transactional data modelled
- 5 Languages spoken
What I actually do, and how well.
Self-assessed against the work in the portfolio below — the tools I reach for weekly sit at the top, the ones I bring in a specialist for sit lower and say so.
Analytics
Turning a warehouse of rows into a page someone acts on.
- Tableau
- Power BI & DAX
- Analytical SQL
- Excel & Power Query
- Statistics & experiment design
Engineering
The plumbing underneath — modelled, tested and scheduled.
- Python (pandas, Polars)
- PostgreSQL & BigQuery
- dbt & dimensional modelling
- Airflow & orchestration
- Web automation (Playwright)
AI & ML
Forecasts and retrieval, evaluated before they ship.
- scikit-learn & gradient boosting
- Time-series forecasting
- Retrieval-augmented generation
- Prompt & evaluation design
- MLOps & model monitoring
Delivery
The unglamorous half that decides whether any of it gets used.
- Stakeholder workshops
- Requirements discovery
- Documentation & handover
The tools in regular use.
Not a wish list — everything here has shipped something in the past year.
- Python
- SQL
- TypeScript
- DAX
- Tableau
- Power BI
- Looker Studio
- Excel
- BigQuery
- PostgreSQL
- Snowflake
- Google Cloud
- Azure
- scikit-learn
- Prophet
- Hugging Face
- LangChain
- dbt
- Airflow
- Git
- Docker
- Playwright
A year of commits.
601 commits across client repositories, internal tooling and this site, 4 August 2025 — 2 August 2026. The quiet columns are holidays — the rest is most weekdays, which is how a pipeline stays alive after handover.
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The people who signed the work off.
Operations leads, finance managers and founders — the ones who had to live with the dashboards and pipelines after the engagement closed.
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We had four years of till data and no way to read it. Murilo rebuilt the weekly trading pack in Tableau and the Monday review went from a two-hour argument about numbers to a twenty-minute conversation about decisions.
Aoife Ní Bhraonáin Head of Retail Operations · Kilbrannon Group -
The month-end reconciliation used to take my team three full days of copy-and-paste. It now runs overnight and lands in my inbox with the variances already flagged. He also documented it properly, which matters more than people think.
Declan Moriarty Financial Controller · Ardmore Timber & Panel -
He spent a full day sitting at reception before writing any code, which is why the no-show model actually fits how the clinic runs. Our empty-chair rate is down and the front desk trusts the list it gets each morning.
Sinéad Gallagher Practice Manager · Loughrea Dental & Implant Clinic -
Clear scoping, no jargon, and he pushed back when we asked for a metric that would have flattered us. Our churn reporting is now something I can put in front of investors without a caveat slide.
Joost Meijer Co-founder · Cadence HR, Utrecht -
Depot managers were each keeping their own spreadsheet. One model, one definition of on-time, and the arguments stopped. The handover pack meant my own analyst could take it over after six weeks.
Marek Nowakowski Transport & Logistics Lead · Baltrade Distribution
Where the work happened.
On the CEMEA Sales BPR & Systems team — building browser-based automation, processing large-scale cross-regional sales data, and turning it into Tableau dashboards and predictive models that give stakeholders visibility into performance and KPIs.
Tools: Tableau · SQL · Python (Pandas, Playwright, Selenium) · Google BigQuery · Microsoft Excel
- Develop and maintain browser-based automation workflows with Playwright to streamline data collection, validation and reporting for the CEMEA Sales BPR & Systems team.
- Design and build interactive Tableau dashboards giving stakeholders visibility into sales performance and key business KPIs across the CEMEA region.
- Manage and process large-scale datasets supporting cross-regional sales business-process re-engineering (BPR), ensuring data accuracy and integrity.
- Build predictive scripts and statistical models to analyse sales trends and support forecasting and data-driven decisions.
- Manage the full project lifecycle for multiple clients — from consultation and stakeholder engagement to architecting and deploying end-to-end data & automation solutions.
- Engineer custom automation with Python and RPA, streamlining complex processes and reducing manual effort by up to 80%.
- Perform exploratory data analysis and statistical modelling to surface KPIs and predictive insight for forecasting; version control with Git / GitHub / GitLab.
- Engineered and maintained scalable ETL pipelines processing terabytes of data from disparate sources into Google BigQuery, ensuring integrity and data governance.
- Delivered dynamic BI dashboards that guided strategic decisions, and drove process improvements with low-code apps (AppSheet) and AI automation (n8n).
- Automated extraction from legacy systems (RPA) and external sites (web scraping), and optimised BigQuery performance with complex SQL and stored procedures.
- First point of contact for all IT issues, providing timely hardware and software support to a busy legal office.
- Managed system maintenance, network configuration and software updates to keep workstations stable and secure.
Qualified, and multilingual.
Currently learning
- Data storytelling Structuring an analysis so the recommendation is obvious, not just the numbers.
- Cloud & AI platforms Applied GenAI and managed ML services on Google Cloud and Azure.
- Full-stack engineering Shipping the interface around a model or pipeline, not just the analysis behind it.
Let data lead your business, starting today.
Have a dataset, a dashboard, or a question? Send a note and I’ll get back to you.