Soujanya S.

Soujanya S. is a Senior Machine Learning Engineer and NLP Data Scientist at Dana-Farber Cancer Institute since March 2021, with previous experience as a Data Science Fellow at Insight Data Science and a Data Science Intern at Evonik. At Insight Data Science, Soujanya trained models to interpret clinical text and improved performance metrics by approximately 5% using fine-tuned BERT models. In the role at Evonik, Soujanya worked on equipment failure detection, achieving a 5% improvement in recall and developing an LSTM autoencoder for anomaly detection. As a Data Scientist at Merck, Soujanya created a prescription-based analytical tool that enhanced reporting efficiency and saved significant time. Educational qualifications include a Master of Science in Business Analytics from Purdue University and a Nanodegree in Natural Language Processing from Udacity, alongside a dual degree in Metallurgical and Materials Engineering from the Indian Institute of Technology, Madras.