Open to opportunities

João Gameiro

Data Scientist & Business Intelligence Analyst

I build and maintain the pipelines behind reporting, then do the analysis that sits on top of them. Python and SQL for the work, Databricks and Azure for the data platform, Power BI for the reporting. Three years in, based in Geneva.

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Geneva · Switzerland

3+Years in data roles

10Power BI dashboards shipped

4Languages spoken

30Countries visited

About

I'm a Portuguese data scientist working in Switzerland. Most of my career has been spent close to operations. At Bobst I worked with telemetry from hundreds of industrial machines. At Toyota Motor Europe it was customer vehicle usage data and Oracle ERP records. At Leadzai, a Lisbon startup, it was ad performance data. In each case the data was large, incomplete, and produced by a physical process.

Day to day I use Python and SQL for the analysis, Databricks and Azure for the pipelines, dbt for the modelling layer, and Power BI for reporting. I work across the full path, from raw ingest through to the figure that ends up in a meeting, and I spend a fair amount of that time on whether a metric is measuring what people think it is.

I hold an MSc in Data Science and Advanced Analytics from Nova IMS in Lisbon, after a BSc in Data Science at the same school with an Erasmus exchange at Sapienza in Rome. I am currently looking for my next data or BI role, anywhere in Europe.

Based inGeneva, Switzerland
FocusAnalytics engineering, BI, applied ML
EducationMSc Data Science & Advanced Analytics, Nova IMS
LanguagesPortuguese (native) · English (C2) · Spanish (C1) · French (B2)
StatusOpen to data / BI roles

What I do

Data analysis

Exploratory and statistical analysis in Python and SQL, usually on large operational datasets that need a good deal of cleaning before they answer anything.

Business intelligence

Power BI dashboards for upper management and external client accounts, together with the metric definitions and validation rules that sit behind them.

Applied machine learning

Predictive maintenance on vehicle telemetry, and text mining with sentiment analysis on ad copy. Models built against a specific business question.

Data engineering

Pipelines on Databricks and Azure with dbt as the transformation layer, built to run on a schedule without anyone having to touch them.

Skills & tools

LanguagesCore

Python SQL KQL pandas NumPy scikit-learn PyTorch PySpark Generative AI / LLMs Git and more

Data platformPipelines & storage

Databricks Azure dbt Delta Lake Data modelling ETL / ELT Data quality & validation

BI & reportingDelivery

Power BI DAX Power Query Excel KPI design Stakeholder reporting

Analytics & MLMethods

Predictive maintenance Anomaly detection Time series NLP / text mining Sentiment analysis Statistical analysis A/B thinking

DomainsWhere I've worked

Industrial / manufacturing telemetry Automotive ERP data (Oracle) Digital advertising

Experience

Data Scientist

Bobst

2024–2026 · Vaud, Switzerland

Built and maintained data pipelines on Databricks and Azure, using dbt for the transformation layer.
Analysed telemetry from hundreds of industrial machines in Python, covering speed, output, temperature and failed output, to identify performance and reliability patterns.
Delivered 10 Power BI dashboards consumed by upper management and more than 20 external client accounts.
Worked with stakeholders to define metrics and validation rules for reported figures.

Data Science & Analytics Intern

Toyota Motor Europe

2023–2024 · Brussels, Belgium

Contributed to a predictive maintenance model in Python built on customer vehicle usage and car telemetry data.
Analysed Oracle ERP data with SQL and Python to support operational reporting.
Automated recurring analysis and reporting tasks that were previously done by hand.

Machine Learning Engineer Intern

Leadzai

2023 · Lisbon, Portugal

Built a Facebook Graph API pipeline processing 500k+ ads across 20+ verticals.
Applied text mining, NLP and sentiment analysis to ad copy to investigate why some ads performed better than others.

MSc Data Science & Advanced Analytics

Nova IMS

Graduated 2024 · Lisbon · Business Analytics track

Preceded by a BSc in Data Science at Nova IMS, including an Erasmus exchange at Sapienza University of Rome.

Projects

Personal projects, with the code on GitHub.

In progress Open data

Lisbon is ageing unevenly

How far apart are the oldest and youngest parts of Lisbon? Census 2021 broken down to the city's 24 freguesias, with a reproducible pipeline from the raw INE and Lisboa Aberta sources through to an interactive map. Every figure on the page is generated by the pipeline, none typed in by hand.

Pythonpandas Open dataGeospatial Data qualitySVG

Code

More projects will appear here as I finish them. Code goes on GitHub.

Contact

Get in touch

I am looking for data scientist, data analyst and BI engineer roles across Europe. If you have a role that might fit, or a question about anything here, send me a message.

jgameiro77@gmail.com LinkedIn GitHub