Data scientest, Machine Learning Engineer,

I am a self-motivated engineer. My master thesis was in Arabic name entity recognition.
Also, I’m certified Deep learning Nanodegree, AWS Machine-Learning, Data Analysis Challenger Track, Professional, and advanced Track from Udacity.

• Data Science
• Deep learning
• Maschinelles Lernen
• matplotlib
• numpy
• Pandas
• Python
• Scraping Data
• seaborn
• sklearn

I am a self-motivated engineer. My master thesis was in Arabic name entity recognition. During it, I used the Machine Learning and deep learning. I performed activities such as pre-processing, feature extraction and building models.

Also, I’m certified in Deep learning Nanodegree, AWS Machine-Learning, Data Analysis Challenger Track, and Professional Track from Udacity. Also, I'm certified in computer vision Basics from Coursera. I’m familiar with neural network programming using Tensorflow, Keras. Also, I am well informed with data scientist packages such as Pandas, Numpy, and Matplotlib. Moreover, I am well informed with data wrangling phases such as gathering, assessment, and cleaning.

My skills include data analysis, python, machine learning, deep learning, data scraping, Assessing data, cleaning data, feature engineering, numPy, pandas, scikit learn, tensorflow, and keras. Also, I have c, embedded c, and ARM controller.

Finally, I have two years of experience as an Embedded Software Engineer, Specialized in C, and Embedded C for an embedded platform. Have good experience in design, implementation, and configuration in all software layers.

Data Analyst, Machine Learning Engineer. Data Science, Python, Development, Scraping Data, Machine Learning, Deep Learning.