Experience
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).
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.
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 | 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
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
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
