NACHIKETAS WAYCHAL
  •  nachiketas.waychal@spjimr.org

Nachiketas Waychal

Assistant Professor

Operations Supply Chain Management and Quantitative Methods

Nachiketas Waychal holds a Ph.D. in Operations and Decision Sciences from the Indian Institute of Management Ahmedabad. His dissertation focused on developing customised algorithms for time series analysis and forecasting in real-valued and infinite dimensional spaces. His primary research interests encompass time series analysis, forecast combinations, multi-objective optimisation, user-interactive algorithms, intermittent/sporadic demand forecasting, quick and multiple change point detection, scan statistics, functional time series forecasting, and Bayes-Hilbert spaces.

Before his Ph.D., Nachiketas worked in the FMCG industry with Hindustan Unilever Ltd. and Nivea India Pvt. Ltd. in various functions including manufacturing, planning, logistics, warehousing, and modern trade & e-commerce customer service. His teaching experience includes the delivery and evaluation of courses in the domains of mathematics, statistics, supply chain management, operations management, and business analytics/R-programming across educational institutions like IIMA, NIPER-A, and JGBS. His research work has been published in journals and presented at conferences, including the Journal of the Operational Research Society (JORS), the International Symposium on Forecasting (ISF), amongst others.

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EDUCATION

Indian Institute of Management, Ahmedabad (IIM A)

Ph.D. 2024. Area: Operations and Decision Sciences. Focus: Customised forecasting and change point detection with temporal data

S.P. Jain Institute of Management and Research, Mumbai

PGDM: 2015. Major: Manufacturing & Operations management

Visvesvaraya National Institute of Technology, Nagpur

B.Tech: 2013. Specialisation: Mechanical Engineering

  • RESEARCH INTERESTS

    Time series analysis, change point detection, scan statistics, and forecast combinations.

    Multi-objective optimisation, user-interactive algorithms.

    Functional (infinite dimensional) time series forecasting and Bayes-Hilbert spaces.

  • SELECTED PUBLICATIONS

    Waychal, N., Laha, A. K., & Sinha, A. (2023). An adaptive multi-objective optimal forecast combination and its application for predicting intermittent demand. Journal of the Operational Research Society, 1-13. https://doi.org/10.1080/01605682.2023.2277865

    Link to Google Scholar

  • CONFERENCES

    ‘Forecasting time series of probability density functions’ at the 42nd International Symposium on Forecasting (ISF-2022) held at the University of Oxford, Oxford, United Kingdom by the International Institute of Forecasters

    ‘A new approach for time series forecasting in the presence of change-points’ at the Australian and New Zealand Statistical Conference 2021 by the Statistical Society of Australia

    ‘A new approach for change-point detection and reconstruction in time series forecasting’ at the 41st International Symposium on Forecasting (ISF-2021) by the International Institute of Forecasters

    ‘Adaptive Ranking & Ensembler Algorithm (AREA130) – multiple criteria based user-interactive evaluation and combination of forecasts’ at the 40th International Symposium on Forecasting (ISF-2020) by the International Institute of Forecasters

    ‘Decision trees with bias correction validated through 2-pronged regression for prediction interval of percentiles’ at the 52nd Annual Convention of the Operations Research Society of India and International Conference 2019

  • WORKING PAPERS

    Waychal, N., Laha, A. K., & Sinha, A. (2023). A Multi-Objective Optimal Forecast Combination for Predicting Intermittent Demand. Available at SSRN 4345211.

  • TEACHING INTEREST

    Operations and Supply Chain Management

    Business Analytics / Mathematical Modeling

    Time Series Analysis / Forecasting

    Linear and Non-Linear Optimisation

  • COURSES

    Supply Chain Management

    Operations Management

    Data analytics with R; Introduction to R

    Mathematics/Statistics for Managers

  • WORK EXPERIENCE

    Academic Faculty

    Operations and supply chain management faculty at Jindal Global Business School

    Visiting faculty at IIM Ahmedabad

    Visiting faculty at the National Institute of Pharmaceutical Education and Research, Ahmedabad

    Professional Positions

    Modern Trade & E-Commerce Servicing Manager, Nivea India Pvt. Ltd. (Jun 2017 – Sep 2017)

    Logistics Excellence Manager, Hindustan Unilever Limited (May 2015 – Jun 2017)

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