Syeda Iqra
@syedaiqra
I am an aspiring data scientist specializing in deep learning and computer vision.
What I'm looking for
I am a recent Information Technology graduate focused on AI, machine learning, and computer vision. I specialize in developing YOLO-based object detection models for medical imaging and applying data-driven solutions to real problems.
From January 2025 to June 2025 I interned at Saasynctly, where I converted data into practical steps, constructed analytical models, and gained hands-on experience training and evaluating YOLO-based object detection systems. The internship strengthened my problem-solving, teamwork, and technical skills.
My final-year project automated osteo detection from X-ray images using deep learning, exploring YOLOv8 through YOLOv11 with Roboflow-annotated datasets on Google Colab; I achieved a peak accuracy of 91.53% with YOLOv11-medium. I co-authored the research paper titled “Deep learning- based bone fracture detection,” which is currently under peer review in an international journal.
I enjoy teaching, research, and collaborative problem solving, and I bring strong analytical thinking and communication skills. I am eager to contribute to AI projects, research, or teaching roles that advance clinical applicability and real-time inference.
Experience
Work history, roles, and key accomplishments
Data Science & Analysis Intern
Saasynctly
Jan 2025 - Jun 2025 (5 months)
Trained and evaluated YOLO-based object detection models at Saasynctly, achieving a peak model accuracy of 91.53% and preparing pipelines for clinical fracture detection. Co-authored a research paper on AI-driven bone fracture detection and implemented data preprocessing and augmentation workflows.
Education
Degrees, certifications, and relevant coursework
Lahore Garrison University
Bachelor of Information Technology, Information Technology
2021 - 2025
Grade: 3.27 / 4.00
Activities and societies: Final-year project on automated osteo detection from X-ray images; internship at Saasynctly (Jan–Jun 2025); co-authored a research paper on deep learning-based bone fracture detection (under review); GitHub: https://github.com/SyedaIqra222
Bachelor of Information Technology (2021–2025) with a 3.27/4.00 CGPA; completed a final-year deep learning project on automated bone fracture detection and an internship in data science (Jan–Jun 2025).
Unique College for Girls
Intermediate in Computer Science (ICS), Computer Science
2019 - 2021
Intermediate in Computer Science (ICS) completed 2019–2021.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/SyedaIqra222Job categories
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