Helena Maia

As a Data Analyst at MEREO, I transformed complex HR data into actionable insights through SQL and dashboard design. I developed over 12 interactive dashboards in Metabase, enabling clients to track key HR metrics. Collaborating in agile teams, I enhanced communication across departments and provided ad hoc reporting using Python for data analysis.

During my internship at ENACOM, I worked with a Computer Vision team to develop Python code for analyzing tomography images. This project focused on identifying various types of brain bleeding, enhancing my programming and analytical skills.

As a volunteer with Arquitetas Nômades, I facilitated home renovations for low-income families, securing funds and assisting in practical work. This experience enhanced my project management and community engagement skills.

Performance Optimization: Understanding OFDM's role in mobile networks, particularly in LTE and 5G technologies, and how efficiently different modulation schemes enhance network capacity and user experience. Security Enhancements: Research on physical layer encryption (PLE) techniques for OFDM to improve security in mobile communications.

Final year project: Conducted a Python-based data analysis of COVID-19 data from São Paulo and New York to assess data reliability. Evaluate outliers, weekly and weekend data patterns, COVID-19 wave trends, and the data's performance in two predictive algorithms - demonstrating skills in data exploration, KPI definition, and data visualisation.