• June 2021 to June 2022

    Financial Services Innovation Lab

    Pre-Doctoral Research Fellow
    Atlanta, USA

  • Jan 2020 to May 2021

    Georgia Institute of Technology

    Graduate Assistant
    Atlanta, USA

  • Jan 2019 to June 2019

    Institute for Plasma Research (ITER-India)

    Data Science Intern
    Gandhinagar, INDIA

  • May 2018 to July 2018

    Indian Institute of Management Ahmedabad

    Computational Finance Intern
    Ahmedabad, INDIA

  • May 2016 to July 2016

    Foyr.com

    Web Development Intern
    Hyderabad, INDIA

  • August 2022 to present

    Georgia Institute of Technology

    Ph.D. in Machine Learning
    Atlanta, USA

  • August 2019 to May 2021

    Georgia Institute of Technology

    Master of Science in Quantitative and Computational Finance
    Atlanta, USA

  • August 2015 to May 2019

    DA-IICT

    B. Tech. (Honors) in Information and Communication Technology with minor in Computational Science
    Gandhinagar, INDIA

Research and Publications

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Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis
ACL 2023 (main)
Co-Authors: Suvan Paturi, and Sudheer Chava
Presentation: ACL 2023 (poster)
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Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks
Working Paper
Co-Authors: Sudheer Chava
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Benchmarking Machine Learning Models to Predict Corporate Bankruptcy
Journal of Credit Risk (2023)
Co-Authors: Emmanuel Alanis, and Sudheer Chava
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Measuring Firm-Level Inflation Exposure: A Deep Learning Approach
Working Paper
Award: Best Paper (FinTech) at FMA Annual Meeting 2022
Co-Authors: Sudheer Chava, Wendi Du, and Linghang Zeng
Presentations: MFA 2023; AFA 2023; UTD Fall Finance Conference 2022; FMA 2022; CFEA GSU 2022; UF RCMLF 2022; Stockholm School of Economics 2022; SITE 2022; CICF 2022
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Abnormal Trading Detection in the NFT Market: A Statistical Analysis of the NFT Market Structure
SIG-KDD-UC (2023)
Co-Authors: Mingxiao Song, Yunsong Liu, and Sudheer Chava
Presentations (by undergrads): SIG-KDD-UC 2023; UROP Symposium 2023 (3rd prize); Atlanta Web3 Conference 2022
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When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain
EMNLP 2022 (main)
Co-Authors: Raj Shah, Kunal Chawla, Dheeraj Eidnani, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, and Diyi Yang
Presentation: EMNLP 2022 (oral)
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Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis
Working Paper
Co-Authors: Pratvi Shah, Arkaprabha Banerjee, Anushka Singh, Arnav Hiray, Dheeraj Eidnani, Bhaskar Chaudhury, and Sudheer Chava
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How to Get Investment Grade Rating in the Age of Explainable Ai?
Working Paper
Co-Authors: Ravi Makwana, Dhruvil Bhatt, Kirtan Delwadia, and Bhaskar Chaudhury
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Principal Component Analysis Based Construction and Evaluation of Cryptocurrency Index
Expert Systems With Applications (2021)
Co-Authors: Yagnesh Chauhan, and Bhaskar Chaudhury
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Machine Learning for Low Temperature Plasma Diagnostics
APS Annual Gaseous Electronics Meeting (2019)
Co-Authors: Nirbhay Ram, Bhaskar Chaudhury, Himanshu Tyagi, Manas Bhuyan, Kaushal Pandya, and Mainak Bandyopadhyay
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Multivariate-data-visualization-based investigation of projectiles in sports
European Journal of Physics (2018)
Co-Authors: Yagnesh Chauhan, Prithvi Patel, and Bhaskar Chaudhury
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Deep Reinforcement Learning for Conversational AI
1st International Workshop on Search-Oriented Conversational AI (2017)
Co-Authors: Mahipal Jadeja, and Neelanshi Varia
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