Rabeya Noor
NUST
· 2021
Email
rnoor.bese17seecs@seecs.edu.pk
Phone
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GitHub
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Academic
Program
BESE
CGPA
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Year
2021
Education
SEECS
Address
National University of Sciences and Technology
DOB
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Career
Current role
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Target role
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Skills
Machine Learning, Deep Learning, Python, Data Cleaning, Visualisation, PyTorch, Keras, Tensorflow, Digital Image Processing, Web and Mobile Development, HTML, CSS, JavaScript, Node.js, Express.js, Flutter, Distributed Computing, Docker, Jenkins, Kubernetes, Java, C++, C, PHP, QGIS
Interests / quote
My aim is to work in such a way which can enable me to learn and refine different computing skills and develop as a good software Engineer. I want to give back to society what I received, and more, by working in the Software Development field. Thereby, effectively using all my knowledge and skills.
Verbatim text
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Rabeya Noor rnoor.bese17seecs@seecs.edu.pk https://www.linkedin.com/in/rabeya-noor-908/ My aim is to work in such a way which can enable me to learn and refine different computing skills and develop as a good software Engineer. I want to give back to society what I received, and more, by working in the Software Development field. Thereby, effectively using all my knowledge and skills. 2021 BESE National University of Sciences and Technology 2017 Cambridge GCE A'Level 2015 O'Level Cambridge GCE June 2019 DAAD Internship and Google CodeU Program September 2019 Worked on Water Resource Estimation by Satellite based Image Analysis Project in RheinMain University, Germany. Developed a QGIS Plugin to automate annotation by using machine learning. Developed and deployed a Web App using App Engine in Google CodeU program June 2019 TUKL - NUST September 2019 Learned and applied Machine Learning and Deep learning on lab project. Machine Learning/Deep Learning Python, Data Cleaning and Visualisation, PyTorch, Keras, Tensorflow, Digital Image Processing Web and Mobile Development HTML, CSS, JavaScript, Node.js, Express.js, Flutter Distributed Computing Docker, Jenkins, Kubernetes Other Programming Languages Java, C++/C, PHP 1. Facial Recognition through masks for surveillance 2. Prediction of Spread of COVID-19 in Pakistan 3. Artificial Intelligence driven Chatbots using Dialog Flow 4. Water Resource Estimation by Satellite based Image Analysis QGIS Plugin 5. Easy Stocks: Stocks prediction web application deployed with Kubernetes 6. Knowldemort: An online Learning Management System 7. Used Node.js and Express.js to develop a web page using forkify API • Participated in the 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) held in Kyoto, japan in Nov 2017. • Visit to Germany for Forest Monitoring & Change Detection project in December 2018. • Virtual participation in Google CodeU Meetup held in Singapore, August 2019. • Participated in International Symposium on Artificial Intelligence and Machine PUBLICATION: Muhammad Ali Shahzad, Rabeya Noor, Faisal Shafait, “Feature Engineering meets Deep Learning: A Case Study with Table Detection”, Submitted to DICTA 2019 Participated in bake sale for fund raising Planted plants for environment in a group
AI enrichment
Rabeya Noor is a BESE graduate from NUST with experience in machine learning, deep learning, and full-stack web development. She has completed internships and projects involving satellite image analysis, facial recognition, and distributed computing using Kubernetes.
Skills (AI)
["Python", "Machine Learning", "Deep Learning", "PyTorch", "Keras", "TensorFlow", "Digital Image Processing", "HTML", "CSS", "JavaScript", "Node.js", "Express.js", "Flutter", "Docker", "Jenkins", "Kubernetes", "Java", "C++", "C", "PHP"]
Status: ai_done