Experience

Undergraduate ML Researcher at IIT Jodhpur

Research Internship | Remote | Ongoing
  • Project: Healthcare Analytics using GANs
  • Developing an algorithm for robust classification of chewing moments.
  • Working on utilizing flexibility offered by Liquid Neural Networks
  • Tech stack: Liquid Neural Network, Machine Learning, Deep Learning

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