Chandini Chandra

Background

About Chandini Chandra

As a Data Processor at Health Service Executive, I apply my machine learning and natural language processing skills to improve the quality and efficiency of data organization and retrieval in the healthcare sector. I have implemented domain-specific models for extractive question answering and sentiment analysis, achieving high accuracy and reducing manual intervention. I have also automated data processing pipelines, ensuring accuracy and timeliness in reporting. My passion for artificial intelligence stems from my Master of Science in AI from Dublin Business School, where I led a research project on customer churn prediction for a telecommunications company, resulting in a 20% reduction in churn rate. Previously, I worked as a Machine Learning Engineer at NocturnalBees, where I collaborated with data scientists and software engineers to build and deploy a scalable solution on Azure for predicting student outcomes and recommending courses. I have extensive experience in developing and deploying ML models, analyzing data and extracting insights, optimizing business processes, managing client relationships, and collaborating with teams.