Noopur Zambare

Noopur Zambare

Gradute Student at University of Alberta

Posts by Collection

experience

Graduate Research Assistant Fellow, University of Alberta

Phair Lab | May 2025 - ongoing
  • Working on designing efficient, fair de-identification algorithms for clinical text.
  • Developing scalable inference pipelines optimized for processing millions of healthcare notes.
  • Developing clinical information retention metrics using BERT for de-identified medical text.

University of Alberta

Graduate Teaching Assistant - CMPUT 200 | Sept 2024 - Dec 2024
  • Worked as TA for CMPUT 200 - Ethics of Data Science and AI (Fall 2024 & Winter 2025).
  • Conducted office hours, labs, grading assignments and exams, solving student queries, etc.

MITACS Globalink Research Internship At University of Calgary

Research Internship | Calgary, Canada | May 2023 - August 2023
  • Project: Return on Investment (ROI) of Data Analytics
  • Used NLP, Active Learning and requirements dependency extraction to construct a full framework to estimate ROI
  • Hosted the application on AWS EC2 and implemented CodePipeline to automate the deployment procedure
  • Business Impact: Highlighted possible ROI under several circumstances, potentially helping the business to manage resources and prioritise data-driven plans.
  • Tech Stack: Deep Learning, Machine Learning, Data Science, NLP, Cloud Computing (AWS), React JS, Flask

AutomationEdge, India

Machine Learning Internship | India | June 2022 - July 2022
  • Conducted data preprocessing, feature engineering, and model evaluation on large text datasets.
  • Enhanced text analytics pipelines and improved customer intent recognition models.
  • Tech stack: Machine Learning, Deep learning, NLP, Spacy, Textacy

Amazon ML Summer School’22

Amazon | Apprenticeship | July 2022
  • Competed with the engineering students in India in programming skills, logical reasoning, mathematics and machine learning assessments and was selected among the top few students for this training session
  • Hands-on: Deep Neural Networks, Sequential Models, Unsupervised Learning, Causal Inference & Reinforcement Learnin

projects

Progetto - Project Management Platform

Tool for project management
  • Developed a platform to manage all the ongoing projects on a University Campus.
  • Designed REST APIs for interactive user experience.

Dense Network Pruning using Neural Collapse under Imbalanced Dataset

Neural Network Pruning Algorithm
  • Neural Collapse-Inspired Pruning: Preserves class separability during pruning,in imbalanced datasets.
  • Bias Mitigation & Robustness: Reduces bias towards majority classes and tests model robustness under noisy conditions.
  • Experimental Results: Demonstrates effective accuracy retention and fairness, especially for minority classes in imbalanced data.

Q&A: System Based on Google Palm LLM and Langchain

LLM-powered Q&A system using Langchain + Google Palm
  • Developed an LLM-powered Q&A system (Langchain + Google Palm) within Streamlit UI to reduce workload for e-learning company.
  • Spearheaded the implementation of FAISS vector database for fast retrieval of relevant answers, optimizing system performance and user satisfaction.
  • This innovative approach enables real-time response and seamless access to knowledge within the e-learning platform.

Vehicle Detection Through Transfer Learning

A Transfer Learning framework for detecting vehicles in aerial images
  • Utilised the potential of transfer learning with VGG16 network architecture.
  • Attained quicker convergence on vehicle detection dataset.
  • Conducted trials on grey and coloured images and obtained model accuracy of 60%.

research

AROhI: an Interactive Toolkit for Estimating ROI of Data Analytics

IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, USA 2025

This work details a comprehensive tool that provides conventional and advanced ML approaches for demonstration using requirements dependency extraction and their ROI analysis as use case.

View here

talks