Salma has more than 2 years of experience in software engineering and specifically in machine learning. She worked mostly on developing machine learning models that are used for diagnosing certain medical conditions. She is an expert in Python, C++ and Matlab and she can work with a wide variety of technologies (PL/SQL- ADO, ODP, java/android Programming, Assembly x86).
Developed a website for predicting and detecting possible attacks using neural network.
Built a machine learning model using feature extraction algorithms as “Gray-level-co-occurrence- matrix”, “Principal component analysis”, Classifier algorithm as “support vector machine”, and” Convolution neural network”.
Built a face recognition model using feature extraction algorithms as “Gray-level-co- occurrence- matrix” and classifier algorithm as”k-nearst neighbors”.
Developed a code dark room game where the player (camera) enters the room, control the camera moves by the arrows, to attack the objects that appear under the lights.
Constructed a weekly schedule for credit hours students according to the courses, using data structure as “dictionaries”, “vectors”.
Python, C++, Matlab, SQL, Java, C#
Bachelor’s Degree in Computer Science, Ain Shams University (2018)
Machine learning by Stanford university, Convolution neural network.
Machine learning and deep learning from Scratch in Arabic form.
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