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Welcome to Abeer Mahgoub's profile!

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Research Assistant (2 years): During my two-year tenure as a Research Assistant, I honed my skills in collecting, cleaning, and analyzing data to derive meaningful insights. I developed proficiency in various data analysis tools and techniques, translating complex data into actionable recommendations that drove informed decision-making. My work ranged from machine learning model development to predictive analytics, showcasing my adaptability in addressing diverse analytical challenges.

Currently, I am actively pursuing a master’s degree in informatics, which has allowed me to deepen my knowledge in data science, machine learning, and advanced statistical methods. My coursework has not only expanded my theoretical understanding but has also provided a platform to apply these concepts in real-world research projects.

Looking ahead, I am excited to continue my academic journey and bridge the gap between academia and industry. I aspire to engage in groundbreaking research projects that not only advance our understanding of data science but also provide practical solutions to real-world challenges.

Connect with Me :

🛠  Tech Stack

Python  R  JAVA  Git  GitHub 

Abeer A. Mahgoub's Projects

capsule_net_pytorch icon capsule_net_pytorch

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

data-analyst-roadmap icon data-analyst-roadmap

I am sharing my Journey of 66DaysofData into Data Analytics by participating in Ken Jee's #66daysofdata challenge

datasciencecoursera icon datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

mlbookcamp-code icon mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

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