I'm a biomedical engineer enthusiastic about harnessing the power of Data & AI to derive meaningful insights and drive innovation, especially in healthcare. I would describe me as analytical, creative, collaborative and resilient. Welcome to my GitHub profile! 🚀

• 🎓 Education: I hold a degree in Biomedical Engineering, where I gained a solid foundation in both healthcare, statistics and engineering principles.
• 💼 Professional Experience: I completed a curricular internship working on Glintt's 'WoW Project', inserted on the health informatics and Internet of Things (IoT) domains.

• IBM Data Science Professional Certificate: Completed the IBM Data Science Professional Certificate, gaining expertise in various aspects of data science, including machine learning, data analysis, and data visualization.
• Johns Hopkins University - The Data Science of Health Informatics: Successfully completed the course, gaining insights into the data science applications to healthcare data.

• Programming Languages: Python
• Data Analysis: Pandas, NumPy
• Machine Learning: Scikit-Learn
• Data Visualization: Matplotlib, Seaborn, Plotly, Folium
• Database: SQL
• Tools: Jupyter Notebooks, GitHub

📈 I'm constantly exploring new technologies and skills. I'm also currently interested in:

• Deep Learning: Computer Vision, NLP, GenAI
• Cloud services
• Dashboarding / data visualization tools
• Big data technologies

Here are some projects where I practiced my skills:

1. [Exploring Healthcare Insights and Outcomes in Critical Care Patients Data]
   • [Check Repository]
2. [Falcon 9 First Stage Landing Prediction (IBM Data Science Capstone)]
   • [Check Repository]

• 📧 Email: [email protected]
• 💼 LinkedIn: [Profile]

I am actively seeking opportunities in the field of data science and analytics. If you have any exciting projects or job opportunities, feel free to reach out!

Thanks for visiting my GitHub profile! 🚀