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Description: Dive into the world of Generative AI and Natural Language Processing! Earnings calls are a goldmine of information, but extracting true sentiment is challenging. You'll work on leveraging state-of-the-art LLMs to significantly improve the accuracy and nuance of our sentiment scoring. Your work will directly contribute to providing deeper, more reliable insights for investment analysis.

Key Skills You'll Use & Develop: GenAI/LLMs (e.g., prompt engineering, fine-tuning concepts), Python programming, Natural Language Processing (NLP) techniques, Cloud platforms..

Ideal Candidate Profile: Strong programming aptitude (Python), analytical mindset, keen interest in AI/ML and its practical applications, curiosity about financial markets.

Expected Learning Outcomes: Gain practical experience in applying advanced GenAI models to real-world financial data, understand the nuances of sentiment analysis, develop skills in cloud-based AI development, and contribute to impactful FinTech solutions.

Relevant Coursework: Python Programming, Artificial Intelligence/Machine Learning, Statistics, Introduction to Finance.

NetNet Fintech Pvt Ltd - Non Tech

Station Overview

Project 1

Title: Earnings Sentiment Analysis using Large Language Models (LLMs)