About Víctor
Spanish
Native or bilingual
English
Fluent
Experience
- PROSEGURData AnalystDEFENSE AND MILITARYJanuary 2025 - Today (1 year and 5 months)Madrid, Spain- Analysis of international projects.- Development of strategic reports and dashboards adapted to management needs, ensuring clarity, relevance, and value in decision-making.- Construction of indicators and control mechanisms and processes.- Comprehensive evaluation of data quality, including error detection, inconsistencies, and integrity analysis.- Direct collaboration with operational teams to identify, map, and document the origin of data in different systems and processes.- Proposal and implementation of data quality improvements through standardization of formats, automation of validations, and interdepartmental alignment.- Coordination with stakeholders at different levels to understand analytical requirements and translate them into effective reporting solutions.- Training and support for end-users in interpreting reports and using analytical tools, promoting a data-driven culture.- Documentation of processes, business rules, and key definitions to facilitate data governance and reuse.
- CCC - CENTRO PARA LA CULTURA Y EL CONOCIMIENTOAccounting AnalystEDUCATION AND E-LEARNINGFebruary 2024 - August 2024 (6 months)Madrid, Spain- Prepare financial statements and monthly reports.- Manage accounts payable and receivable, bank reconciliations.- Ensure accuracy and effectiveness in accounting processes.- Collaborate in the preparation of budgets and financial projections.
- REDEXIS, S.AStrategy and ExpansionENERGY AND UTILITIESMay 2023 - February 2024 (9 months)Madrid, Spain- Leadership in meetings for case resolution.- Management of departmental management programs.- Review of documentation related to project profitability studies to understand their scope.- Extraction of information from systems to prepare monitoring reports.
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Education
- Data AnalyticsIronHack2024• M1: Limpieza y transformación de datos, API y Web Scraping, así como desarrollar habilidades en Git, SQL y Python. • M2: Uso de Python para entender la estadística inferencial y la probabilidad, así como los principios básicos de la inteligencia empresarial. Técnicas de presentación de historias para poder visualizar los datos y perspectivas. • M3: Crear, formar y evaluar modelos aprendiendo a utilizar la biblioteca para aprendizaje automático scikit-learn. Crear un proyecto de aprendizaje automático de principio a fin procesando un conjunto de datos, extrayendo funciones, formando y utilizando un modelo para realizar predicciones sobre datos nuevos.