About

Aaradhya Singh is a highly skilled Associate Analyst at MasterCard with a passion for deep learning and data science. With a Bachelor of Technology degree in Metallurgical and Materials Engineering from IIT Roorkee, Aaradhya has gained extensive experience in the field of data science, particularly in the areas of NLP, text classification, and deep learning. During her time at course5i, Aaradhya worked on a text classification model using NLP and deep learning concepts to improve the accuracy of a pre-existing model. She also developed various parallel and sequential models with GLoVE word embeddings using Keras and Tensorflow. Aaradhya's experience with attention networks, ensemble learning models, Adanet, and XL-net has given her a unique perspective on the latest developments in deep learning. In addition to her work at course5i, Aaradhya has also worked as a Quantitative Research Consultant at WorldQuant, where she gained valuable experience in financial modeling and analysis. Her ability to apply her deep learning and data science skills to the finance industry has made her a valuable asset to any team. Aaradhya's technical expertise includes deep learning, text classification, Keras, NLP, and Tensorflow. She is a skilled researcher with a background in metallurgical and materials engineering, making her a well-rounded data scientist with a unique perspective. With 2.35 years of relevant experience, Aaradhya is a highly motivated and dedicated professional who is always eager to learn and grow. Her passion for deep learning and data science, combined with her technical expertise, make her an excellent addition to any team.