Resume Tehreem Javed PDF
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National University of Sciences and Technology
Tehreem Javed
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Summary
Tehreem Javed is a Computer Engineering student at the National University of Sciences and Technology in Pakistan. She has experience in programming, and has worked on projects involving image synthesis using GANs, image classification using convolutional neural networks, and image classification and segmentation using various deep learning models. She is also involved in extracurricular activities.
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TEHREEM JAVED [email protected] ⋄ linkedin.com/in/tahreem-javed ⋄ github.com/tehreem901 Computer Engineer ⋄ 0316-5436779⋄ Rawalpindi, Pakistan OBJECTIVE As a current Computer Engineering student, I am enthusiastic about embarking on my professional...
TEHREEM JAVED [email protected] ⋄ linkedin.com/in/tahreem-javed ⋄ github.com/tehreem901 Computer Engineer ⋄ 0316-5436779⋄ Rawalpindi, Pakistan OBJECTIVE As a current Computer Engineering student, I am enthusiastic about embarking on my professional journey in the field of technology.Confident in my educational background and a passion for technology, I am excited to learn and make valuable contributions in a collaborative work environment. EDUCATION National University of Sciences and Technology Sept 2020 - Oct 2024 Bachelor of Computer Engineering — CGPA:3.05 SKILLS Technical Skills Python,C++,SQL,Machine Learning,HTML,CSS,pandas,MS Excel Soft Skills Emotional Intelligence, Team Building and Team Work, Communication EXPERIENCE Programming Instructor July 2023 - August 2023 NUST Summer School Rawalpindi ,Pakistan Created easy-to-follow lesson plans that helped students learn basic and advanced Python concepts. CERTIFICATIONS Introduction to Data Analysis using Microsoft Excel-Coursera Deep Learning with PyTorch : Generative Adversarial Network-Coursera PROJECTS OCT Image Synthesis using GANs (Generative Adversarial Networks) Developed a sophisticated system for synthesizing optical coherence tomography (OCT) images to aid in the diagnosis of retinal conditions using GANs, such as StyleGAN1, StyleGAN2, CGAN, and DCGAN. We also used Vision Transformers to identify whether the eye condition was Normal, drusen, DME, or CNV. Image Classification using Convolutional Neural Networks. Classified the images of skin cell tissues into 03 classes. Image classification using LeNet,AlexNet,VGG16 and ResNet and segmentation using Unet To compare the performance of different deep learning models, we used LeNet, AlexNet, VGG16, and ResNet for the classification of foggy and original images. Additionally, the images were segmented using U-Net to defog them. Ice cream Parlor management system using python and SQL Created a simple and easy-to-use Ice Cream Parlor Management System with buttons and menus using Python and SQL. Also performed blackbox and whitebox testing on it. EXTRA-CURRICULAR ACTIVITIES COMPECC and Icod2t- Deputy Director Deputy Director of Admin/HR wing Olympiad-Deputy Director Deputy Director of Protocol wing
