About

Amishi Singh is a highly skilled Senior Associate at EY with a focus on data science and machine learning. With a Master of Technology degree in Computer Science and Automation from the Indian Institute of Science and a Bachelor of Engineering in Information Technology from the Institute of Engineering & Technology DAVV, Indore, Amishi has a strong academic background in the field of technology. Amishi has 3.78 years of relevant experience in the industry and is highly proficient in a range of technologies including AI, ML, NLP, Computer Vision, Neural Networks, and Deep Learning. She has extensive experience in Information Retrieval, Object Detection, and Search, and has worked on a variety of projects in these areas. At EY, Amishi has developed a number of innovative solutions to automate processes and reduce human effort. She has built Tree based multi-class classification models for VAT based invoices, as well as a Tree based Unsupervised anomaly detection system for identifying and eliminating outlier transactions. She has also created a TensorFlow Object detection model to automate the process of identifying stamps and logos present within invoices. Amishi has also worked on document information extraction, testing and demonstrating Dagster for grid search pipelines, deploying template matching models for information retrieval from U.S. Income Tax Return K-1 forms, and evaluating Microsoft Azure Form Recognizer for document information extraction. She has also remodelled the information retrieval technology, replacing the limited template matching approach with AI-powered Microsoft Azure Form Recognizer document extraction service. Amishi is now looking for opportunities in ML/AI and is eager to apply her skills and experience to new challenges. With her strong academic background and extensive industry experience, she is well-equipped to take on complex projects and drive innovation in the field of data science and machine learning.