Bachelor's Degree in Systems and Biomedical Engineering specialized in data science and machine learning.
I've been working as a data scientist for more than 3 years in academic research. Have a lot of practical and theoretical skills in machine learning, deep learning, and data analysis.

I am skilled in Python, OOP, R, SQL, and Advanced Excel. Regarding statistics Knowledge, I have a strong background in Descriptive Statistics, Hypothesis Testing, Regression Analysis, and A/B Tests.
In addition to that, I am dealing with Pandas, Numpy for data analysis, besides seaborn and matplotlib for data visualization.

I have also a background in machine learning as following:
• TensorFlow and Keras for deep learning.
• Supervised Learning: Regression, SVM, KNN, and Naive Bayes.
• Unsupervised Learning: K-means clustering.
• Deep Learning: CNN.


Education

• Bachelor degree in Systems and Biomedical Engineering
Cairo University, Egypt
2014 - 2019

Experience

• Technical Support and Software Implementation Engineer
PaxeraHealth Corp.
Jan 2020 - Present

- Performing technical tasks in assisting with project implementation such as installing virtual machines, OSs.
- Implementing and installs software integrations, such as PACS/RIS or HIS/RIS. In addition to that, Supporting DICOM, PACS, and their connectivity/integration issues with company software.
- Fields complex support interactions that require system analysis and problem-solving techniques.

• Academic Researcher in Data Science
Faculty of Engineering, Cairo University
Jan 2018 - Present

- Analyze large amounts of information to discover trends and patterns.
- Develop custom data models and algorithms to apply to data sets.
- Develop A/B testing framework and test model quality.
- Build predictive models and machine-learning algorithms.
- Present information using data visualization techniques.