
Pooja Bhambri
Research Assistant @ University of Alberta
About
I’m a computer science student at the University of Alberta with 2 years of internship experience and a strong interest in machine learning, web development, and data-driven problem solving. My experience includes building practical solutions in web development and data engineering, alongside hands-on research in deep learning and medical image analysis. I enjoy exploring how technology and AI can be applied to create meaningful, real world solutions while continuously learning and collaborating with others in the field.
Canada
Edmonton
Computer Software
Microsoft Azure, JavaScript, Google Apps Script, Web Development, SQL, Data Engineering, Deep Learning, NumPy, PyTorch, Machine Learning, Artificial Intelligence (AI), Data Analysis, Reinforcement Learning, Management, Internal Audit, Python (Programming Language), Customer Experience, Organization Skills, Problem Solving, Critical Thinking
Experience

Research Assistant
Working under Dr. Ross Mitchell (Canada CIFAR AI Chair) for auto-segmentation research - Research Atlas Based Auto-Segmentation - Finetuning deep learning auto-segmentation tools to improve accuracy and efficiency of adaptive radiotherapy for head and neck cancer, with a focus on delineation of OARs in cone beam CT images.

Technology and Automation Intern
- Designed and developed web applications that support training and onboarding, such as web apps to test and evaluate new hires' operational skills - Developed custom scripts for automating reports, document generation, and communications, improving operational efficiency and reducing manual work
Pooja Bhambri's Contact Information
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