The Fifth Elephant 2018

The seventh edition of India's best data conference


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

Speaker bio

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 and MS by Research from IIIT Hyderabad with specialization in Machine Learning and NLP.


Preview video


  •   Zainab Bawa (@zainabbawa) Reviewer a year ago

    Karthik, thanks for submitting this proposal. Why is “Machine Learning as applied at FactSet to extract Financial information automatically” interesting to the audience at The Fifth Elephant? What is it that you will tell the audience that will apply to them universally?

  •   Karthik Gali (@karthikgali) Proposer a year ago

    This will help audience to understand how to approach a given problem using Machine Learning. After this talk, they will know how to address a new problem using machine learning.

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