Machine Learning for Financial Data Extraction
Submitted by Karthik Gali (@karthikgali) on Wednesday, 13 December 2017
Section: Crisp talk Technical level: Beginner Status: Rejected
Data plays a major role in taking decisions pertaining to Financial transactions (Buy/sell stocks, bonds, Mutual funds). I would briefly talk how Machine Learning is applied at FactSet to extract Financial information automatically.
Introduction to investment
why do investors require data
Challenges in data Extraction l
How does Machine Learning help
Karthik Gali leads a team of 11 Machine Learning engineers in FactSet Research Systems. He has over 8 year of industry experience. Prior to that, he has done B.tech and MS by Research from IIIT Hyderabad with specialization in Machine Learning and NLP.