Computer geek, self motivated, always happy and willing to learn new things, experienced with various applications of Artificial Intelligence such as machine learning classifiers, imagine processing and deep learning. I am by no means limited to the aforementioned as I can adapt to any situation as needed :)
Proud leader and founder of TF2 SA which is a revolutionary personal project for a game i am passionate about.
I can code in various languages, Python, C++, Java, PHP, Sourcepawn. Depending on the situation I can code in any language because in the end it is about the logical approach than the language itself.
I think optimally and include every factor and variable in a problem which makes me very vigilant and attentive of the smallest details, things do not easily get past me. even if they do I always have a way to improvise and overcome.
When I do something, I do not just do it. I make it as pleasant and appealing as much as I can. I am experienced in photo editing, video editing, 3D editing, and content writing. I am a very positive person, always looking at the bright-side with a competitive sense of humor. I always tame pressure and stress with a smile :)
Modification for Team Fortress 2, with new content not officially featured in the game. goes out of the game's scope by implementing HTML, CSS, PHP, Javascript, and PHP to provide unique enhancements that mimic the actual game's system.
Predictive system that preemptively diagnoses several diseases. Developed using machine learning techniques, Aim to make an early intervention to improve health conditions in the Saudi Arabia and comply with the 2030 vision
{mustafa} is a library that rectifies sklearn ML algorithms by gathering them in one place and generating dynamic GridSearch data helping in optimality
COVID-19 filled hospitals with patients making it hard to know which to prioritize. Using Moscow's data this predictive model was made to predict whether a patient should take the Intensive Care Unit or not.
Predicting temperature in all Saudi Arabia cities with very high score using Python Sklearn-kit RandomForestRegressor model. Dataset is courtesy of Kaggle.
Predict whether a resume should pass to the interview phase or not. Could practically be used to screen resumes in companies.
LSTM-based deep learning model and bi-directional neural network for machine learning are used to identify fake news from a given news corpus. Practically any media firm may utilize this technology to automatically determine if the news being circulated is false or not.
Segmenting customers is essential for marketers as it allows them to conduct focused advertising campaigns suited for the needs of the customers. Using unsupervised machine learning algorithms this process is made more accurate and easier
Interactive streamlit dashboard for motor vehicle collision analysis in NYC
A high employee turnover (the rate at which employees leave a business) can affect it negatively. However, its severity could be reduced if predicted beforehand, using interactive Decision Trees and Random Forest of scikit learn this is done.
Insurance is needed in many things, especially for health. Its price can depend on many factors, machine learning plays a role in simplifying it.
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