Session: NLP in Fintech: How Large Language Models are transforming the future of Fintech
1\ Overview of AI in Finance - where it is and the path forward
2\ Best practices to consider as organizations begin implementing end-to-end ML models
3\ A case study on how to use open-source NLP large language models (LLMs) to build a domain-specific Question-Answering model
- NLP in Finance use-cases
- Implementation of a Question Answering system using open-source Large Language Models
- Pitfalls to avoid while building an end-to-end NLP pipeline
Jayeeta is a Senior Data Scientist with several years of industry experience in Natural Language Processing (NLP), Statistical Modeling, Product Analytics and implementing ML solutions for specialized use cases. Currently, Jayeeta works at Fitch Ratings, New York, a global leader in financial information services. She is an avid NLP researcher and gets to explore a lot of state-of-the-art open-source models to build impactful products and firmly believes that data, of all forms, is the best storyteller.
Jayeeta also led multiple NLP workshops in association with Women Who Code, and GitNation among others. Jayeeta has also been invited to speak at International Conference on Machine Learning (ICML 2022), ODSC East, MLConf EU, WomenTech Global Conference, Data Science Salon, and Data Summit Connect, to name a few. She is also an ambassador for Women in Data Science, at Stanford University, and a Data Science Mentor at Girl Up, United Nations Foundation, and WomenTech Network where she aims to inspire more women to take up STEM.
Jayeeta has been nominated for the WomenTech Global Awards 2020 and has been spotlighted in the List of Top 100 Women Who Break the Bias 2022. She received her MS in Quantitative Methods and Modeling and a BS in Economics and Statistics and is now based in New York City.
Connect here - https://linktr.ee/JayeetaP