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JaviDoria/README.md

Hello there 👋, I'm Javi

Data Analyst

Texto alternativo

👋🏼 Hi, I’m Javi, a professional transitioning into the Data field. In the summer of 2024, I participated in the Data Analytics Bootcamp at the IT-Academy of Barcelona Activa. This experience sparked my interest in reinventing myself professionally, equipping me with new tools and skills that fueled my passion and commitment to this field.

👨🏻‍🎓 I’ve developed expertise in tools such as Python, MySQL, Power BI, MongoDB, and GitHub. These skills enable me to extract, clean, transform, and visualize data to generate actionable insights. My technical background in telecommunications, combined with hands-on experience in software and hardware maintenance, has provided me with a solid foundation in technology. Seeking further growth, I joined a Machine Learning Reskilling program, which exceeded my expectations. This experience broadened my perspective, taught me to approach problems creatively, and strengthened my ability to independently research and implement solutions—key qualities for a Data Analyst.

📊 My strengths include critical thinking, time management, and effective communication, along with a strong capacity for self-learning. Additionally, my leadership and organizational experience enable me to adapt quickly to tech environments and contribute value from day one. I’m a native Spanish speaker, proficient in Catalan and English at a B1 level and have basic knowledge of Portuguese, making me a great fit for multicultural teams.

👀 I’m eager to apply my analytical skills and experience in a dynamic organization where data-driven solutions and continuous growth are valued.

Tech Skills:

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  1. BootCamp_Data_Analytics BootCamp_Data_Analytics Public

    -Desarrollo completo del proceso de ETL . - Creación de Dashboards. - Análisis de datos e implementación de gráficos en Python. -Trabajo enfocado en Sprints implementando metodología Agile.

    Jupyter Notebook

  2. Upskilling-Machine-Learning Upskilling-Machine-Learning Public

    - Fundamentos de Estadística matemática. - Conceptos clave de Machine Learning. - Desarrollo de modelos y Algoritmos. -Proceso EDA y preprocesamiento de datos. -Tratamiento de Outliers y NaN. -Esta…

    Jupyter Notebook