The Fifth Elephant 2019

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Defining and Solving Data Science for Finance Problems: A Case Study

Submitted by Aniruddha M Godbole (@godboleam) on Tuesday, 7 May 2019


Preview video

Session type: Full talk of 40 mins

Abstract

In this talk the speaker shares his understanding about the challenges of applying Data Science for Finance, takes an example in which he was involved in formulating a challenging problem and where cutting-edge Machine Learning research was used. Finally, the speaker offers his thoughts on how to go about formulating Data Science for Finance problems.

Outline

This talk will be tentatively be organized around four sections.
1. Why is it hard to formulate Data Science problems for Finance.
2. A specific problem: Why is service quality ignored in Finance and its relevance.
3. Technical Challenges: Why this specific problem is tough and how State of the Art Machine Learning and Traditional Statistics may be used.
4. How to formulate Data Science for Finance problems: Some sketchy thoughts…(this is partly art, partly science)

Speaker bio

Aniruddha M Godbole has expertise in Finance, Computer Science and Statistics. Over the last 14 years he has worked in a bank, a financial risk managment consulting firm, and in the IT industry. Aniruddha has an MBA in Finance from National Institute of Bank Management and a MS in Data Science from Indiana University. Recently Aniruddha and his research supervisor Professor David Crandall authored a paper titled ‘Empowering Borrowers in their Choice of Lenders: Decoding Service Quality from Customer Complaints,’ ACM International Web Science Conference (WebSci), 2019. He has been consulted by the Central Bank on a financial innovation. He has contributed to the Opinion Pages of a major business newspaper on numerous occasions. Aniruddha is also the inventor of a mobile payments solution for basic mobile phones (patent application filed).

Links

Slides

https://iu.box.com/s/sx2crqilwh9ojoi1rfas7h546jmwyhal

Preview video

https://iu.box.com/s/5h2fxhnlre0sx7yzems40bwcslzbcrul

Comments

  • Abhishek Balaji (@booleanbalaji) Reviewer a month ago

    Hello Aniruddha,

    Thank you for submitting a proposal. To proceed with evaluation, we need to see detailed slides and a preview video for your proposal. Your slides must cover the following:

    • Problem statement/context, which the audience can relate to and understand. The problem statement has to be a problem (based on this context) that can be generalized for all.
    • What were the tools/options available in the market to solve this problem? How did you evaluate alternatives, and what metrics did you use for the evaluation?
    • Why did you pick the option that you did?
    • Explain how the situation was before the solution you picked/built and how it changed after implementing the solution you picked and built? Show before-after scenario comparisons & metrics.
    • What compromises/trade-offs did you have to make in this process?
    • What is the one takeaway that you want participants to go back with at the end of this talk? What is it that participants should learn/be cautious about when solving similar problems?
    • Is the tool free/open-source? If not, what can the audience takeaway from the talk?

    We need to see the updated slides on or before 21 May in order to close the decision on your proposal. If we do not receive an update by 21 May we’ll move the proposal for consideration at a future event.

    • Aniruddha M Godbole (@godboleam) Proposer a month ago

      Hi Abhishek,
      Thanks for your review. I have uploaded a preview video and a first draft of a deck. Please note that this draft deck—especially the case study— will get substantively revised with additional details after I have given a talk on our paper ‘Empowering Borrowers in their choice of Lenders: Decoding Service Quality from Customer Complaints’ at the ACM International Web Science Conference 2019 (WebSci‘19) in Boston to be held from 30-Jun to 03-Jul 2019. My co-author is Professor David Crandall, School of Informatics, Computing, and Engineering, Indiana University. Our paper is listed at: https://websci19.webscience.org/papers.html
      Please advise if you have any additional review comments.
      Regards,
      Aniruddha

      • Abhishek Balaji (@booleanbalaji) Reviewer 28 days ago

        Noted, thanks!

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