fhooe hagenberg 

Teacher Assistant

Nokia Bell Labs

Nokia IP Networks & Services Fundamentals Winter-break Internship

GDSCNU

Instructor Back End Developer 

IDT-Egypt

Learning Engineering students some programming language (HTML, Css, JavaScript) and make them doing their own plrojects

Instructor Full stack developer 

Head Of Web Development

IEEE NUS Student Branch

Member

CIS Research Center Nile University 

Reviewed the fundamental concepts of digital image processing as well as computer
vision in order to understand how it works.
− Developed an image classifier using Supervised Learning techniques in CV Studio
using supervised learning techniques.
− Gained a solid understanding of the key components of Neural Networks and
assessed the performance of the CNN model as it pertains to classifying different
objects.
− Implemented an image classification system using tools such as PyTorch to
implement a classifier based on image attributes.
− expanded a Python, Pillow, and OpenCV package to process basic images and to detect
and classify these images using Python, Pillow, and OpenCV.
− Advanced and deployed a computer vision web application that runs on IBM Cloud
− Finished a few lectures from a postgraduate course I took on how to process images

Junior Research Assistant

WINC Research Center at Nile University 

The target of this internship is to learn more knowledge about different applications and hands-on several machine learning algorithms in different applications. Also, the main target is to publish at least 1 conference paper.

Nile University

Biomedical informatics computer science

Children's Cancer Hospital Foundation 57357

As an intern of data analysis using R at 57357 Hospital, I had the opportunity to gain hands-on experience working with complex healthcare datasets. During my internship, I developed my skills in data cleaning, data visualization, and statistical analysis using the R programming language.

My responsibilities included collecting and organizing large datasets, conducting exploratory data analysis, and creating visualizations to communicate insights. I also worked on developing predictive models to identify potential risk factors for various diseases and to improve patient outcomes.

Throughout my internship, I collaborated with healthcare professionals and other stakeholders to ensure that the data analysis results were aligned with the hospital's goals and priorities. This experience has not only strengthened my technical skills in data analysis, but also my ability to communicate complex findings to non-technical stakeholders.

Overall, my internship at 57357 Hospital has provided me with valuable experience in data analysis in a healthcare setting, and I am excited to apply these skills to future opportunities in the field.

Internship Trainee

As a highly motivated and skilled computer science student, currently pursuing a Master's 
degree in Interactive Media, I am specializing in artificial intelligence and computer vision. I have 
acquired valuable experience as a Junior Research Assistant, demonstrating proficiency in data 
collection, analysis, and the development of experimental procedures. With a strong passion for 
deep learning techniques and their application to address complex problems, I am enthusiastic 
about utilizing my skills and knowledge to contribute to innovative research projects in the realm 
of artificial intelligence and computer vision.

Taplio

Rawan Gomaa's Linkedin Analytics

Rawan Gomaa

Want to drive more opportunities from LinkedIn?