Carlos Pérez Manzano

Mathematician and Data Scientist specialized in transforming complex data into automated business solutions and predictive models.

I help companies and organizations optimize their decision-making through the design of robust data architectures, efficient ETL processes (SQL/PostgreSQL), and automations that save hours of manual work. My strength lies in combining mathematical rigor with Python development to implement real-world Machine Learning models and design advanced dashboards (Power BI, Plotly) that clearly communicate insights.

Unlike other profiles, I bring direct experience in the digitization and migration of critical public and financial data systems (such as the System of Economic Accounts of Andalusia or the Cabildo Insular de Tenerife), ensuring data integrity, cleanliness, and scalability from origin to visualization.

How can I help you?

Design of relational databases addressing business problems.

Development of data pipelines and advanced ETL processes (SQL, Python, PySpark).

Predictive modeling and Machine Learning integration (Scikit-learn).

Creation of Dashboards and automated reports in Power BI.