Data Scientist, with a specialized focus on cardiology, signal processing, and machine learning. I have a strong foundation in data science and machine learning, especially in the domain of cardiovascular health. I have applied my skills and knowledge to various projects involving complex and diverse datasets, such as ECG, PCG, PPG, and accelerometer data.

In addition to my technical skills, I have experience in creating Python packages for efficient data handling, processing, and machine learning, ensuring high standards of signal and data quality. This role involved presenting complex data and results to leadership, highlighting my ability to communicate intricate technical details effectively through presentations and comprehensive reports.
As a Lead Data Analyst in collaboration with prominent institutions, I led a data analysis team that focused on analyzing and studying the variability of ECG and PCG signals, applying statistical and frequency analyses to derive significant insights. Our work culminated in several publications in the IET Conference Proceedings journal, showcasing our innovative approach and findings.
My academic credentials include a Research Master’s Degree in Machine Learning, with a specific emphasis on medical signal processing. This advanced study culminated in a comprehensive thesis project, where I successfully implemented AI algorithms on Brain signals (EEGs) in Python, aimed at classifying different neurological diseases.

set of skills:
My Expertise:
✅ Conducting research
✅ Creating specific python package to your project.
✅ Collecting, Cleaning and Managing data and databases.
✅ Developping the data and result into a format easily representable to other employees investors, and other researchers.

My skill set is comprehensive, covering a wide range of tools and technologies including:
✅ Python (Pandas, Scikit-learn, Numpy, Scipy, Matplotlib, Keras, Pytorch, TensorFlow)
✅Machine Learning Algorithms (PCA, K-means, Random Forest, XGboost, Logistic Regression, SVM and etc..)
✅ Deep Learning (Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN))
✅ Computer Vision, Forecasting,
and also the tools:
✅ SQL
✅ Git
✅ R-studio
✅ Tableau
✅ MATLAB
✅ C/C++

One of my key strengths is my ability to learn new technologies quickly and adapt them into my work. I am motivated, team-oriented, and always up for a challenge. I enjoy diving into complex data problems and emerging with insights and solutions that can drive decision-making and create value.

I'm excited to bring my skill set and experience to your project. If you're looking for a dedicated, experienced, and enthusiastic data scientist, I would love to chat with you about how I can help achieve your objectives.