Muaid Mughrabi

Intro

Hi! My name is Muaid. I am currently a Master’s student of Computer Science at Leibniz University Hannover. The focus of my studies is Data Science. In December 2021, I will complete my master’s degree.

During my study, I focused on developing my skills in three main directions: Data Science and Artifical Intellegence, Software Engineering, and, to a leeser extend, Human-Computer Intraction. This was mainly done by focusing on career development not only in terms of academia, but also in terms of industry. Previously I worked at Bosch (2019), StarFinanz (The IT service provider of the Sparkassen Finance Group) (2019-2021). Currenlty, I am working at TNG Technology Consulting in the Cloud Data Hub project in behalf of BMW.

Skills

In general:

• Data Science and Artifical Intellegence: my main interest and the main course of my studies. This includes Data Analysis, Visualisation, usage of Machine and Deep Learning algorithms to solve problems related to Natural language processing, graph data analysis, multimedia processing, and deploying smart agents using reinforcement learning.

• Software Engineering Skills: skills related to creating high quality but still easy to maintain softwares.

• Softskills: teamwork, leadership skills, knowledge transfer. I worked as a academic tutor for more than 10 different academic courses addressed to different disciplinary backgrounds.

In details:

Honorable Projects

• Bachelor Thesis: Design of Multi Channel EMS Notifications and their Effects on the User Experience (Submitted 01.2019):

  Challenges among three dimensions:

  1. Software Development: creating a high-quality EMS framework capable of communicating with multiple EMS channels simultaneously, which was then used to create a user-friendly IDE and a study execution tool, all within a very limited timeframe.
  2. Human Computer Interaction: creating and conducting 2 user studies. In Addition, pattern creation requires prior knowledge of human anatomy.
  3. Data Analysis: drawing conclusions from the collected data and presenting them in a visually appealing way.

  Used technlogies:
  Java, JavaFX, C, Gson, let your body move, Python, Numpy, Pandas, Matplotlib, Seaborn.

  More details can be found here.

• CheXpert:

  International competition introduced by Stanford ML Group aiming at automated interpretation of chest radiographs. With my group, we reached and held the first place (also internationally) for the single model competition for about 1 month (06.2019), currently ranked 94th for single and ensamble models (model name: JustAnotherDensenet).

• Other Academic Projects:

  • Deep Learning Project: This project replicates, extends and evaluates the well known GraphSAGE algorithm.

  • Datamining Project: This work aims to reproduce and explain the results of the cost-sensitive boosting approaches presented here.

Scholarships

• Deutschlandstipendium (2019/2020)
• 2x Lower Saxony Scholarship (Aka: Niedersachsenstipendium) (2018, 2020)

Contact

Email: Muaid.Mughrabi@gmail.com
LinkedIn
GitLab