A results-driven data professional passionate about transforming raw, complex, and un-structured datasets into scalable data pipelines, predictive models, and strategic business insights.
- Graduate with a Bachelor's degree in Economics, fully studied in english at University Carlos III.
- Graduate with a Master's Degree in Data Science, specializing in end to end analytical pipelines, statistical modeling, and data engineering architectures.
- My core expertise lies in designing robust data curation workflows, managing database schemas, and building interactive business intelligence systems.
- Currently exploring advanced distributed computing workflows, automated deployment of pipelines, and production-level machine learning architectures.
Here is a selection of my core data engineering and data science projects:
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End to End Ticketing BI Pipeline
Design of a complete data warehouse infrastructure using a medallion architecture (bronze, silver, gold) to isolate data extraction and monitor service level agreements (SLA) alongside internal backlog dynamics. |
Telecom Customer Churn Prediction
Application of advanced statistical inference, logistic regression, and predictive regularization models (Ridge and Lasso) using cross-validation to prevent user attrition and handle corporate dataset balancing. |
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Streaming Platform Content Analysis
Cloud-ready big data engineering pipeline targetting compressed columnar metadata and nested arrays to track international streaming production hubs and release timeline trends. |
Car Depreciation & Market Value
Detailed exploratory data analysis (EDA) and data cleansing pipeline on automotive marketplace transactions, implementing domain-specific outlier filtering and mathematical stabilization. |
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Global Emissions & Climate Change
Statistical transformation, custom multi-variable reshaping, and data cleaning using advanced functional pivoting techniques to isolate specific environmental pollution metrics by industry. |
Traffic Accident Analysis in Madrid
Consolidation and deep data cleaning of a multi-year municipal open data corpus encompassing over 312,000 records to identify temporal and seasonal trends in road safety. |
 Pipeline automation and architecture development. Building medallion data infrastructures, distributed data tasks, and scalable workflow optimization. |
 Statistical inference, exploratory data analysis, and advanced classification. Experienced with feature engineering and predictive modeling algorithms. |
 Transforming dimensional data models into relational executive summaries. Expert management of advanced filtering, KPIs, and interactive reporting dashboards. |
al1sr