Lisboa, Lisbon, Portugal
💡 "Curiosity drives me, and data helps me find the answers." After almost 6 years in IT Talent Acquisition, I realized that what excited me most was working with data—analyzing trends, spotting patterns, and using insights to make better decisions. That curiosity led me to start my journey into Data Analytics, and I’m now actively learning and building my skills in this field. Currently, I’m gaining hands-on experience in SQL, Python, and data visualization tools while working on personal projects and coursework. I’m especially interested in how data can improve business processes and drive efficiency. 🔍 What I bring to the table: ✅ A strong foundation in analyzing trends from my experience in IT recruitment ✅ Excellent communication skills from working with stakeholders and teams ✅ A passion for learning and problem-solving through data Right now, I’m focused on growing my technical skills and working on real-world projects to apply what I’m learning. Excited to connect with others in the data community and continue this journey! 🚀
📌 Career Break | Upskilling in Data Analytics 📅 March 2025 – Present I’m taking a strategic career break to focus on transitioning into Data Analytics by gaining hands-on experience and technical skills in: ✔ SQL & Python for data querying and analysis ✔ Data visualization (Power BI, Tableau) ✔ Statistical analysis and business intelligence Courses, projects and Certifications: ✅ Python for Beginners (2024) @ Udemy "Learn the basics of Python in a quick and easy-to-understand course! This course will teach you the fundamentals of Python and covers practice problems so you can advance your Python skills quickly. You will learn about installing / setting up Python, input, output, variables, data types, converting between data types, strings, numbers, arithmetic, conditional statements, loops, lists, tuples, and functions." 🔛 Introdução à Análise de Dados com SQL @ Code For All Describe what you’re doing: online courses, personal projects, certifications (e.g., Google Data Analytics, SQL, Python, Power BI). 🔛 Learning Data Analytics: 1 Foundations @ LinkedIn Learning Learning objectives: - Recognize the skills of a data analyst. - Apply SQL statements using the correct syntax. - Interpret existing data. - Explain how data is cleaned. - Demonstrate how to use joins. - Identify different types of data. - Describe how to model data.