Zaema Khurram Dar
FAST
· 2024
Email
zaemadar@gmail.com
Phone
03359880333
LinkedIn
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GitHub
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Academic
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Year
2024
Education
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Zaema Khurram Dar 03359880333 House BB-686, Asgharmal Road, Rawalpindi LinkedIn: Education FAST NUCES BS(CS) Deep Learning, Software Project Management, MLOps The City School Physics, Math, Chemistry Beaconhouse School System Biology, Physics, Math, English Projects Final Project: Scholarmate (Tensorflow, React, Django) A R&D project using a multi-model approach for automatic literature review generation and journal recommendation for scientific text. Semester Projects: Cancer Detection (Keras, Tensorflow, Matplot) Cancer Detection in scans using CNNs Grayscale Images to Colour (PyTorch, OpenCV, Flask) Using DL models to colorize gray-scale images Work Experience Data Science and Analysis Intern, The Sparks Foundation March 2024 - present I'm working on Data Science projects and visualizing results using tools like Python and Power BI. Freelance Content Writer, Upwork June 2023 - present I specialize in creating engaging scripts for YouTube, blog posts, and SEO-optimized product descriptions. Teacher Assistant, FAST NUCES January 2023 - May 2023 TA for the course of communication and presentation skills, where my duties were to make quizzes for students and keeping a record of the marks. Skills & Tools Professional Skills: Communication Skills, Digital Literacy and Tech Adaptability, Leadership Technical Skills: Python, C++, Tensorflow, NLP, Project Planning and Scheduling, Technical Writing Achievements Authored a research paper accepted by IEEE Gold medal in O-Level for 8 A*s Training / Certification Microsoft Learn AI Skills Google Analytics (ongoing) Activities Head of Photography for GDSC FAST Volunteer at AIESEC Media Team member in MLSA Interests Reading Books, Content Creation, Photography zaemadar@gmail.com www.linkedin.com/in/zaema-khurram Majors: A-Level ( ) O-Level ( )
AI enrichment
Zaema Khurram Dar is a recent BS Computer Science graduate with internship experience in data science and a strong academic background in deep learning and MLOps. The candidate has demonstrated technical proficiency through projects involving TensorFlow, PyTorch, and Django, alongside a published IEEE research paper.
Skills (AI)
["Python", "TensorFlow", "PyTorch", "Deep Learning", "NLP", "MLOps", "Django", "React", "C++", "Data Visualization", "Power BI", "Technical Writing"]
Status: ai_done
Provenance
Source file: —Created: 1777723988