Omar Mahmoud

Skills that I have obtained: Python Programming, Numpy, Pandas, Wxpython, data analysis, data wrangling

I participated in the 4th Annual Student Research Competition at The American University in the Emirates (AUE) with a Plagiarism Detection using an NLP model and we got third place.

This project is an exploratory data analysis (EDA) of the Netflix movies and TV shows dataset, aimed at gaining insights into the types of content that Netflix has been adding to its platform over the years. The project involves data cleaning and preprocessing, visualization of the data using Python libraries such as Seaborn and Matplotlib, and analysis of the trends in content additions over time. The insights gained from this analysis could be useful for informing future content acquisition and production strategies for Netflix.

The "Prediction using Supervised ML" project involved using machine learning techniques to predict the scores of students based on the number of hours they study. It was completed as part of an internship with the Sparks Foundation using Python programming language and scikit-learn library for machine learning. The project went through various stages, including data collection, preprocessing, exploratory data analysis, model selection, training, evaluation, and prediction. The project demonstrated skills in Python programming, data preprocessing, exploratory data analysis, model training and evaluation, and communication of results.

The "Prediction using Unsupervised ML" project involved using machine learning techniques to group customers based on their purchasing behavior. It was completed as part of an internship with the Sparks Foundation using Python programming language and scikit-learn library for machine learning. The project went through various stages, including data collection, preprocessing, exploratory data analysis, model selection, hyperparameter tuning, training, evaluation, and visualization. The project demonstrated skills in Python programming, data preprocessing, exploratory data analysis, model training and evaluation, and communication of results, particularly in the field of customer segmentation.