Noopur Zambare

Noopur Zambare

Gradute Student at University of Alberta

Posts by Collection

experience

University of Alberta

Graduate Research Assistant Fellow and Teaching Assistant | Jan 2025 - ongoing
  • Conducting research on Fairness in Machine Learning Algorithms.
  • Working as a Teaching Assistant of CMPUT 200 - Ethics of Data Science and Artificial Intelligence (Winter 2025).

University of Alberta

Graduate Teaching Assistant - CMPUT 200 | Sept 2024 - Dec 2024
  • Worked as a Teaching Assistant of CMPUT 200 - Ethics of Data Science and Artificial Intelligence (Fall 2024).
  • 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

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

AutomationEdge, India

Machine Learning Internship | India | June 2022 - July 2022
  • Employed Curriculum Learning to progressively present training samples for effective learning.
  • Enhanced comprehension of textual customer complaints by implementing NER and POS tagging methods
  • Impact: Improved text analytics and Intent Recognition Algorithms
  • Tech stack: Machine Learning, Deep learning, NLP, Spacy, Textacy

AutomationEdge, India

Data Science Internship | India | Dec 2021 - Jan 2022
  • Formulated predictive models for IT ticket volumes using Deep Neural Networks and worked on Resource Allocation.
  • Leveraged NLP techniques to enhance the functionality of ChatBots built with BOT Framework Composer integrating knowledge base with Microsoft Azure.
  • Impact: Automation strategies established the groundwork for customer service operations innovation.
  • Tech stack: Machine Learning, Deep Learning, Power BI, Microsoft Azure, Bot Composer Framework

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