Aishvarya
  •  aishvarya@spjimr.org

Aishvarya

Assistant Professor, Information Management and Analytics

Aishvarya holds a Ph.D in Decision Sciences from the Indian Institute of Management, Bangalore (IIMB). During her time at IIMB, she not only pursued her doctoral research but also gained valuable experience as a post-doctoral fellow for a year. She has completed her Master’s and Bachelor’s in Statistics from Banaras Hindu University (BHU). Prior to her doctoral studies, Aishvarya excelled as a Data Scientist at IBM, where she was awarded the IBM Eminence & Excellence Rising Star Award. Additionally, she was honoured with the Intel India Research Fellowship for her dissertation project and has collaborated with organisations such as Intel, Dream11, ONE Championship, Gameskraft, and more.

Her thesis focuses on addressing contemporary business and legal challenges in the online gaming sector through data-driven methodologies. Her research interests span business analytics, sports analytics, data-driven policy-making, social media analytics, and the application of statistics across various sectors, including retail. Through the application of rigorous academic research to practical industry scenarios, she aims to make substantial contributions to academia, business, and society.

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EDUCATION

Indian Institute of Management, Bangalore

Ph.D. (2023). Focus: Decision Sciences

Department of Statistics, B.H.U.

M.Sc. (2016). Major: Statistics

Department of Statistics, B.H.U.

B.Sc. (2014). Major: Statistics

  • RESEARCH INTERESTS

    Business Analytics

    Data-Driven Decision Making

    Social Media Analytics

    Sports Analytics

    Text Mining

    Natural Language Processing

    Stochastic Models

  • SELECTED PUBLICATIONS

    Aishvarya, Das, T., Kumar, U.D., (2024), Decision support system for policy-making: Quantifying skill and chance in daily fantasy sports. Decision Support Systems, Volume 182. Elsevier. https://doi.org/10.1016/j.dss.2024.114237

    Aishvarya, Sringeswara, S., Grover, S., U Kumar, D. (2023). “Online Gaming: A Data-Driven Regula- tory Framework”. Economic and Political Weekly, 58(21)

  • CONFERENCES

    Governing the Online Gaming Sector: Challenges and the Way Forward. Artificial Intelligence Applications in Environmental, Social, and Governance Conference, IIM Bangalore (December 2023) [Invited Talk]

    Fantasy Sports: A Game of Skill or Chance? (with Tirthatanmoy Das, Dinesh Kumar U). Presented at the POMS Annual Conference 2022 (Virtual), European Conference on Stochastic Optimization (ECSO) 2022 (Italy), International Conference on Business Analytics and Intelligence (ICBAI) 2021 (Virtual)

    What Drives Acceptance of a New Technology? A Data-Driven Approach (with Dinesh Kumar U, Denis Dennehy). Presented at the EurOMA Conference 2022 (Germany), POMS Annual Conference 2022 (Virtual)

    Online Gaming Regulation: Need of Categorization and Data-Driven Policy Making (with Tirthatanmoy Das, Dinesh Kumar U). Presented at the IPPN Annual Conference 2022 (IIM, Ahmedabad)

    Do Users’ Experiences Speak Louder than the Firm’s Official Tweets? The Case of Daily Fantasy Sports (with Dinesh Kumar U, Denis Dennehy). Presented at the Annual International Research Conference (AIRC) 2022 (IIM Lucknow)

    Regulating Online Gaming: Harnessing Science to Enhance State Capacity (with Rajeev Gowda, Ramprasad A., Shonali T., Fiza T., Shyam S.S.). Presented at the IPPN Annual Conference 2022 (IIM, Ahmedabad)

  • WORKING PAPERS

    Seth, N., Aishvarya, Rahul & U Kumar, D. “Predicting Customers’ Forgetfulness Using Bayesian Bandits: The Case of Online Grocery Shopping”.

    Aishvarya, U Kumar, D. & Dennehy, D. “Joining a Firm’s Online Community: Are Firm’s Tweets More Persuasive Than Other Users’ Experiences?”.

    Aishvarya & U Kumar, D. “Using News Alert Systems to Identify Disruption Risk in Supply Chain: Setting Wake-Up Calls for Risk Management”

    Bhattacharya, B., Aishvarya, Majumdar, A. “Business Health, Demonetisation and Political Alignment: A Subnational Analysis”

    Aishvarya & U Kumar, D. “Role of Time Constraint in the Performance-Risk Relationship: Evidence from Online Rummy Contests”

  • TEACHING INTEREST

    Business Analytics

    Sports Analytics

    Text Analytics

    Foundations of Data Science

    Python for Data Science

    Applied Statistics Using R

  • COURSES

    Business Intelligence & Unstructured Data Analytics

    Sports Analytics and Strategic Decision-Making for Business Managers

    Data Analytics and Visualisation

    Python for Data Science

    Probability and Statistics Theory

    Applied Statistics using R

  • AWARDS & HONOURS

    Intel India Research Fellowship (2021 – 2022)

    Prof. S.N. Singh Memorial Gold Medal Award, B.H.U. (2016)

    Best Paper Award, AIRC Conference, IIM Lucknow (2022)

    IBM Eminence and Excellence: Rising Star Award (2016)

  • WORK EXPERIENCE

    Post-Doctoral Fellow (Apr 2023 – March 2023)

    Indian Institute of Management, Bangalore

  • PROFESSIONAL POSITIONS

    IBM (01 August 2016 – 26 April 2018)

    Data Scientist

  • CONSULTING

    Intel: Using Artificial Intelligence in Building a Resilient Semiconductor Supply Chain

    Gameskraft: Evaluating Players’ Decision-Making Behaviour and Performance in Online Rummy Contests

    ONEChampionship: Designing Skill-Dominant DFS Platform

  • REVIEWER EXPERIENCE

    Reviewer, Decision Support Systems

    Reviewer, IIMB Management Review

    Reviewer, 29th EurOMA Conference, Berlin

    Reviewer & Program Committee Member, 20th IFIP Conference, NUI, Ireland

  • PROFESSIONAL SERVICE

    Tutor, Office of Disability Services (ODS), IIMB

  • PROFESSIONAL MEMBERSHIPS

    Member, Production and Operations Management Society (POMS)

  • CONTRACTS, GRANTS AND SPONSORED RESEARCH

    Intel India Research Fellowship (2021-2022)

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