With over 10 years of experience working in the healthcare, I have developed skills in collecting, organizing and analyzing clinical data working in orthopedic and trauma care. I developed a project in the Engineering area, using advanced technologies such as wireless electromyography, infrared cameras, force platforms and software such as OpenSim and MATLAB scripts for processing, filtering and analyzing biomechanical data. The complete flow covered everything from collection to normalization and kinematic and kinetic modeling, using interpolation tools, Butterworth filters and inverse kinematic analysis. I am currently focused on performance optimization projects in ETL and big data pipelines. I use tools such as Azure, Databricks and SQL to develop scalable, efficient solutions aligned with the demands of processing large volumes of data.
Help building the pipelines and transformations necessary to make operational data available for analysis. Projects: Processes image files to extract text using Optical Character Recognition and saves the extracted text to CSV files. Created an Azure SQL DB and REST API to organize financial data.
Managed and planned rehabilitation programs for diverse patients. Collected and analyzed patient data for program evaluation.
Conducted research on biomechanics, utilizing motion capture systems, force platforms, and wireless surface electromyography. Applied advanced signal processing techniques to extract insights from complex data. Leveraged data analysis and visualization skills to communicate research findings effectively.
Master's degree in Biomedical Engineering
Graduated in Physiotherapy
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