Decision Scientist | Building Forecasting, Experimentation, and AI-Assisted Decision Systems
I'm focused on:
- Revenue & ARR/MRR forecasting
- Marketing & signup attribution
- Subscription lifecycle analytics
- Causal analysis
I am familiar with:
- Semantic-layer modeling (mart on dbt/surface in Omni topics)
- Redshift performance-aware SQL
- AWS cloud environment including S3, Sagemaker, Bedrock
- Email: aleberriz@pm.me
- LinkedIn: https://linkedin.com/in/berriz
- X: @alejandroberriz
- Website: https://aleberriz.com
- SQL: Redshift, DuckDB
- Python: scikit-learn, statsmodels, Pandas, plotnine (ggplot), Plotly (uv for dependencies)
- Modeling: MRR forecasting, attribution heuristics
- BI/Visualization: Omni, Count, Mode, Preset (Apache Superset), Metabase, Tableau, Quick Sight.
- AI: AWS Bedrock
- Tooling: Pi (pi.dev), VS Codium, DBeaver, Podman, Fedora OS
- AWS Certified AI Practitioner (AIF-C01)
- Validate at: https://aws.amazon.com/verification; Verification code:
d6caf1808e55484eb84ac24ce254d101
- Validate at: https://aws.amazon.com/verification; Verification code:
- BetterWorks OKR Master
- Data Storytelling & Visualization (The Economist)
| Project | Description | Stack |
|---|---|---|
| Vespa Velutina Competition | IE Business School data science competition — award-winning team effort in invasive species prediction | Python, ML, Pandas |
| SumUp Product Analytics | Product Data Analyst take-home: SQL, dbt, BigQuery, EDA, stakeholder presentation | SQL, dbt, BigQuery |
| GenAI Model Comparison | Tooling to compare and evaluate outputs across multiple LLM providers | Python, OpenAI |
| Projet Cousteau | Freelance EDA engagement for IMA Groupe (insurance/assistance domain) | Python, Pandas |
- Trilingual (EN/ES/FR)
- I enjoy building analytic frameworks that turn complexity into clarity
- I teach Time Series and Forecasting at IE University