Dr. M.S. Narassima

Assistant Professor

Area of Expertise: Supply Chain Management, Production and Operations Management, Industrial Engineering, Optimisation, problem solving using AI, Modeling and Simulation, Healthcare, Sustainability.

Email: narassima.s@greatlakes.edu.in

Dr. Narassima M.S. is an Assistant Professor of Operations at the Great Lakes Institute of Management, Chennai, specializing in Operations Management, Supply Chain Management and Resilience, and Stochastic Simulation Modelling. Driven by a passion to bridge rigorous theory and business practice, his research focuses on developing evidence-based models for complex systems in healthcare, manufacturing, and public policy. He has authored 73 publications so far, including 2 books, with peer-reviewed articles in top-tier journals (such as Production Planning and Control, Supply Chain Management, Nature's Scientific Reports, BMJ Open, and others) and the textbook 'Design Thinking with Problem-Solving Techniques' with PHI Learning. He has also managed key research projects in collaboration with UNICEF and the Government of Tamil Nadu. Alongside his academic role, he has undertaken consulting assignments for various SMEs and manufacturing firms, offering solutions that span simulation and modelling, lean implementation, digitisation and process improvement. This work is reflected in his published industry case studies, from lean and simulation-led productivity gains in mould shops, foundries and multi-model assembly lines to a digital twin-driven SimLean-TRIZ framework for cold room door production and an integrated Lean-IoT-business intelligence model for the manufacturing shop floor. He serves on the editorial boards of three journals namely the International Journal of Generative AI in Business, the Journal of Intelligent Operations and Analytics, and SN Business & Economics.
Across the PGDM, PGPM and executive programmes at Great Lakes, he has taught multiple courses (listed below), with an average student feedback of around 4.5 out of 5. Tools developed using AI, course information, publication records, and other engagements can be accessed at: https://narassima.github.io/Profile/

Google Scholar Profile:
https://scholar.google.com/citations?hl=en&user=RDFCAzYAAAAJ

Research Interests

• Supply Chain Management, Manufacturing Operations, Industrial Engineering, Modelling and Simulation, Public Health, Sustainability.

Peer - reviewed Journal Articles

Published

• Marimuthu, P., Narassima, M. S., Petru, J., & Mohanavelu, T. (2026). Sequential and Multi-Pass Machining Effects on Surface Integrity and Functional Performance: A Critical Evidence Synthesis. Machines, 14(11), 1284.
• Shravan, A. P., Gunasekaran, A., Narassima, M. S., Mohanraj, T., & Thenarasu, M. (2026). Detection of Banana Plantations using a Two-Stage Transfer Learning Framework. European Journal of Remote Sensing (Accepted).
• Shabarinathan, K. T., Narassima, M. S., Petru, J., & Thenarasu, M. (2026). Performance evaluation and optimization of powder mixed EDM of Inconel 718 using composite electrodes and the VIKOR method. Scientific Reports, 16, 33146.
• Elangovan, A., Maniam, B., Babu, M., & Narassima, M. S. (2026). An Event Study of the Impact of the Israel-Iran-US Conflict Escalation on Crude Oil Futures Prices in India. Journal of International Finance and Economics, 26(3), 77–86.
• Anandhabalaji, V., Babu, M., Narassima, M. S., & Maniam, B. (2026). Modelling Non-Linear Market Dynamics: Technical Analysis and Deep Learning Price Forecasting for Indian Energy PSUs. Journal of Academy of Business and Economics, 26(3), 66–76.
• Shanmugam, S., Elavarasan, E., Madhavarao Seshadri, N., Ashokkumar, D., Senthilkumar, S., & Mohanavelu, T. (2026). A Segmented Machine Learning Approach to Predicting and Mitigating Churn in the Gig Economy. Journal of Theoretical and Applied Electronic Commerce Research, 21(3), 93.
• Pai, V., Thenarasu, M., Krishnaswamy, R., Seshadri, N. M., & McDermott, O. (2026). Process modelling and analysis of a new product assembly flow shop using a lean and simulation heuristic approach: a case study. The International Journal of Advanced Manufacturing Technology, 142(5), 2359–2380.
• Sumesh, A., Rameshkumar, K., Nair, B. B., Thekkuden, D. T., Thenarasu, M., Narassima, M. S., & Menon, A. A. (2026). Image-based machine learning for monitoring wear stages and surface roughness in grinding wheels. Structural Health Monitoring, 14759217251414009.
• Madhavarao Seshadri, N., Singanallur Palaniswamy, A., McDermott, O., Mohanavelu, T., & Arangot, S. (2026). Beyond the Buffer: A Hierarchical Blueprint for Resilient Supply Chain. Logistics, 10(2), 43.
• Narassima, M. S., Swadhithya, V., Kumar, R. R., Rahul, S., & Reddy, J. K. (2026). Bottleneck to breakthrough: a cross-sectoral case study on transforming knowledge management with retrieval-augmented generation-AI. International Journal of Generative Artificial Intelligence in Business, 1(1–2), 134–154.
• Narassima, M. S., Gunasekaran, A., Thenarasu, M., Gedam, V. V., & Karuppiah, K. (2026). An integrated Lean-IoT-business intelligence model of iS success on the manufacturing shop floor. Production Planning & Control, 1–24.
• Curran, J., McDermott, O., Trubetskaya, A., Zouggar Amrani, A., Thenarasu, M., & Narassima, M. S. (2026). Redesigning an FDA-compliant medical device Corrective action & preventive action process utilizing design for Lean Six Sigma. Quality Management Journal, 1–16.
• Diaz, A., Huallpamayta, S., Tarazona, I., Narassima, M. S., & Thenarasu, M. (2026). A lean smart framework for predictive agility in manufacturing using action research. Scientific Reports.
• T. Mohanavelu, N. M. Seshadri, S. Vijayakumar, S. Arangot, J. Petru, et al. (2026). Comparative Study on Thermal Behaviour, Tool Wear and Surface Roughness in Milling EN8 Steel for Sustainable Machining. Materials, 19(5), 975.
• McDermott, O., Conroy, N., Foster, M., Kharub, M., Thenarasu, M., & Seshadri, N. M. (2025). Electronic validation systems to improve regulatory compliance within the medical device and pharmaceutical manufacturing industries-A survey. Quality Management Journal, 1–13.
• Mohanavelu, T., Krishnaswamy, R., Mannepu, V. R., Seshadri, N. M., & McDermott, O. (2025). Dynamic layout optimisation through simulation: enhancing machine utilisation for fluctuating demand. The International Journal of Advanced Manufacturing Technology, 138(3), 983–998.
• Arangot, S., MS, N., McDermott, O., & Panicker, A. (2025). Digital Twin-Driven SimLean-TRIZ Framework in Cold Room Door Production. Modelling, 6(3), 67.
• Gokulachandran, J., Sumesh, A., Narassima, M. S., Thenarasu, M., Raghu, R., Thekkuden, D. T., & Tirkolaee, E. B. (2025). Reliability assessment of friction stir welds in AA100 aluminium alloy using ANN and ANFIS predictive models. Scientific Reports, 15(1), 33297.
• Shaji, A., Narassima, M. S., Pavithran, K., Vijaykumar, D. K., Verma, V., & John, D. (2025). Projection of age-standardised mortality rates for 23 cancer types in India: a nationwide projection until 2030 using autoregressive integrated moving average (ARIMA) models. BMJ Open, 15(10), e095939.
• Narassima, M. S., Thenarasu, M., Anbuudayasankar, S. P., & Babaee Tirkolaee, E. (2025). Integrating green and lean manufacturing: a mixed-methods framework. Management Decision, 1–28.
• McDermott, O., Conroy, N., Toner, A. P., Sá, J. C., Thenarasu, M., & Narassima, M. S. (2025). Electronic validation systems as an aid to quality and regulatory compliance in the medical device and pharmaceutical industries. The TQM Journal, 1–16.
• M. S. Narassima, Thenarasu Mohanavelu, Olivia McDermott, G. Harssheny, S. V. Shruthi, & T. Suraj. (2025). Coupling Responsible Consumption and Sustainable Production Using Consumers’ Green Purchase Behaviour. Cleaner and Responsible Consumption.
• Vandana Pai, Jacob Rousseau, M. Thenarasu, M. S. Narassima, & Vidyadhar V. Gedam. (2025). Inventory Policy in Closed-Loop Supply Chain: A Simulated Case Study Analysis. International Journal of Management Science and Engineering Management.
• Narassima, M. S., Anbuudayasankar, S. P., Thenarasu, M., McDermott, Olivia, Ajit, A. Boris, Karthick, K., Subramanaian, V., & Hariharan, D. (2025). A Multi-staged Triple Bottom Line Framework to Improve Sustainability of Rice Supply Chains. Journal of Agribusiness in Developing and Emerging Economies.
• Sumesh, A., Raghuram, P., Venkata Sampath Kumar, Narassima, M. S., Thenarasu, M., Olivia McDermott, & Venkata Roshan. (2025). Data-Driven Warehouse Design: A Decision Tree Approach with Integrated Mobile Application. International Journal of Management Science and Engineering Management.
• Pillai, R. N., Alex, A., MS, N., Verma, V., Shaji, A., Pavithran, K., et al. (2025). Economic burden of breast cancer in India, 2000–2021 and forecast to 2030. Scientific Reports, 15(1), 1323.
• Vignesh, R. V., Sathiya, P., Manohar, A. L., Narassima, M. S., & Khalaf, T. (2025). Sacrificial anodic performance of magnesium-erbium-ytterbium alloy reinforced with lanthanum oxide through friction stir processing. Materials Letters, 388, 138293.
• Gokulachandran, J., Thenarasu, M., Pothkanoori, B., Narassima, M. S., & Tirkolaee, E. B. (2025). Reliability Prediction and Process Parameter Optimization of Welded Joints: Artificial Neural Network and Fuzzy Logic. Facta Universitatis, Series: Mechanical Engineering.
• M. S. Narassima, S. P. Anbuudayasankar, T. Mohanvelu, O. McDermott, et al. (2025). A multi-staged triple bottom line framework and scenarios to improve sustainability of rice supply chains. Journal of Agribusiness in Developing and Emerging Economies.
• Madhavarao Seshadri, N., Singanallur Palanisamy, A., Mohanavelu, T., & McDermott, O. (2024). Minimization of losses in postharvest of fresh produce supply chain. Journal of Agribusiness in Developing and Emerging Economies.
• M. S. Narassima, S. P. Anbuudayasankar, Vidyadhar V. Gedam, Prashant R. Nair, & M. Dwarakanath. (2024). Simulating the effects of repurposing to combat the COVID-19 pandemic – A case of an Automobile Component Manufacturer. Operations Management Research.
• Kiruthiga, S., Sridharan, B. K., Balaji, K. S., Karthick, K., Narassima, M. S., & Anbuudayasankar, S. P. (2024). Sustainable Urban Planning using Green Logistics and Effective Garbage Disposal. International Journal of Logistics Systems and Management.
• Thenarasu, M., Sakthi Balaji, S., Sumesh, A., Narassima, M. S., Rameshkumar, K., & Babaee Tirkolaee, E. (2024). Enhancing the productivity of mould shop using continuous improvement tools and simulation. International Journal of Systems Science: Operations & Logistics, 11(1), 2425014.
• Muralidharan, K., Vignesh, V., Vignesh, R. V., Govindaraju, M., Baghad, A., Narassima, M. S., Suyambulingam, I., & Siengchin, S. (2024). Comprehensive Overview of Nano, Micro, and Macro Tribometers in Practice. Journal of Bio-and Tribo-Corrosion, 10(3), 44.
• M. S. Narassima, Paramita Bhattacharya, Denny John, & Nirmalya Mukherjee. (2024). Development of a web-based calculator to estimate DALY and Productivity Losses due to COVID-19. Clinical Epidemiology and Global Health.
• Nirmal, K. R., Rangasami, P., Priya, V., & Narassima, M. S. (2024). Effect of Socio Dynamic Aspects of Peer Influences amongst Day Scholars and Boarders of Senior Secondary Schools in Tamil Nadu. Onomázein, 63 (March 2024), 136–148.
• M. Dwarakanath, V. Gedam, K. Krishna, N. M. S., P. Prabhu, & V. Nandi. (2024). Climate change management in manufacturing industry: a greenhouse gas inventorisation and mitigation approach. Journal of Indian Business Research, 16(1), 8–22.
• M. S. Narassima, S. P. Anbuudayasankar, V. V. Gedam, P. R. Nair, et al. (2024). Repurposing as a response to combat the COVID-19 pandemic–a case of an automobile component manufacturer. Operations Management Research, 17(3), 1140–1156.
• Dwarakanath Madhava Rao, Vidyadhar V. Gedam, Kadirvelu Krishna, M. S. Narassima, P. Prabhu, & Nandi Varman. (2023). Climate Change management in Manufacturing Industry- A Greenhouse Gas Incentivization and Mitigation Approach. Journal of Indian Business Research.
• Paramita Bhattacharya, Denny John, Nirmalya Mukherjee, M. S. Narassima, Jaideep Menon, & Amitava Banerjee. (2023). Non-Health Gross Domestic Product (NHGDP) Loss Due To Covid-19 Deaths in West Bengal, India. BMJ Open.
• Arjun Krishna, Mithun Suresh, Rohith Sankar, Mohit V. Shah, M. S. Narassima, S. P. Anbuudayasankar, & M. Thenarasu. (2023). An Analysis of the Factors Influencing Sustainable Online Food Delivery. Journal of Foodservice Business Research.
• M. S. Narassima, V. Aashrith, C. Aldo Ronald, S. P. Anbuudayasankar, & M. Thenarasu. (2023). Implementation of lean principles in the Yarn Manufacturing Industry: A System Dynamics Approach. Benchmarking.
• M. S. Narassima, Vidyadhar Gedam, Angappa Gunasekaran, S. P. Anbuudayasankar, & M. Dwarakanath. (2023). A novel Coexistent Resilience Index to evaluate the Supply Chain Resilience of Industries using Fuzzy Logic. Supply Chain Management.
• Balkumar, K., Himateja, M., Gedam, V., Narassima, M. S., Anbuudayasankar, S. P., Ganesh, K., & Pazhani, S. (2023). Prevalence and future trend in green supply chain management (GSCM): a systematic literature review. Benchmarking.
• D. R. Harish, Gowtham T., Amirthan Arunachalam, M. S. Narassima, D. Lamy, & M. Thenarasu. (2023). Productivity and Process Improvement in a Multimodel Assembly Line using Lean Principles and Simulation. Journal of Engineering Manufacture.
• Narassima, M. S., Anbuudayasankar, S. P., & Vineesh, D. (2023). Dairy Industry in India – Impact Assessment, Simulation, and Empirical study. International Journal of Logistics Systems and Management.
• Aathira, T., Rangasami, P., & Narassima, M. S. (2023). Situational Analysis and Conceptual Model development of Crimes against Women and Children. International Journal of Sustainable Society, 15(1), 75–95.
• Denny John, M. S. Narassima, Paramita Bhattacharya, Nirmalya Mukherjee, Amitava Banerjee, & Jaideep Menon. (2023). Model-based estimation of burden of COVID-19 with disability-adjusted life years and value of statistical life in West Bengal, India. BMJ Open, 13, e065729.
• Narassima, M. S., & Shriram, K. V. (2023). A Novel Statistical Approach to an Event Management A study and analysis of a Techfest with suggestions for improvements. International Journal of Advanced Intelligence Paradigms, 24(1–2), 49–69.
• S. K. Vasudevan, T. S. Murugesh, M. S. Narassima, N. V. Dantu, S. Pulari, et al. (2023). A deep learning approach for the sales prediction in retail stores: an End-to-End analysis and implementation. Internet of Everything for Smart City and Smart Healthcare Applications, 17–34.
• P. Bhattacharya, D. John, N. Mukherjee, N. M. S., J. Menon, & A. Banerjee. (2023). Estimation of non-health gross domestic product (NHGDP) loss due to COVID-19 deaths in West Bengal, India. BMJ Open, 13(10), e072559.
• Sreekumar, S., Narayan, S. R., Devnath, E. S., Ganesh, K., Anbuudayasankar, S. P., Sathish Kumar, V. R., & Narassima, M. S. (2022). Green GAS Heuristics for the Routing Problem. International Journal of Logistics Systems and Management, 43(3), 317–335.
• Narassima, M. S., Prashant, R. N., Anbuudayasankar, S. P., & Ganesh, K. (2022). Information and Communication Technology application in Supply Chain Management: A Literature Review. International Journal of Enterprise Network Management, 13(3), 265–285.
• Karthick, K., Ajit, A. B., Subramanian, V., Narassima, M. S., Anbuudayasankar, S. P., & Hariharan, D. (2022). Maximising profit by waste reduction in postharvest Supply Chain of Tomato. British Food Journal.
• Narassima, M. S., Shriram, K. V., & Anbuudayasankar, S. P. (2022). Development of a priority dispatching rule and novel production scheduling algorithm for a job shop. International Journal of Computer Aided Engineering and Technology, 16(4), 417–449.
• Narassima, M. S., Anbuudayasankar, S. P., Jammy, G. R., Sankarshana, A., Pant, R., Choudhury, L., Yeldandi, V., Singh, S., & John, D. (2022). An Agent-Based Model to Assess COVID-19 Spread and Health Systems Burden. International Journal of Electrical and Computer Engineering, 12(4), 4118–4128.
• Narassima, M. S., Balaji, K. S., Ramasubramanian, B., & Anbuudayasankar, S. P. (2022). Modeling and Simulation of vaccine distribution: A COVID-19 situation. International Journal of Simulation and Process Modelling, 17(4), 303–318.
• Narassima, M. S., Anbuudayasankar, S. P., Mathiyazhagan, K., Ganesh, K., & Lee, T. R. (2022). Supply Chain Resilience: Conceptual Model Building and Validation. International Journal of Logistics Research and Applications.
• Narassima, M. S., Shriram, K. V., Vimalkumar, K., & Anbuudayasankar, S. P. (2022). Blockchain based Seamless end-to-end Shipping with Android Application. International Journal of Internet Technology and Secured Transactions, 12(3), 265–285.
• John, D., Panchal, S., Menon, G. R., Shaw, T., & Narassima, M. S. (2022). Mathematical Models on COVID-19 in India: A Systematic Review protocol. F1000 Research.
• Narassima, M. S., Anbuudayasankar, S. P., Shriram, K. V., & Thenarasu, M. (2022). Performance improvement in Cardiology department of a hospital by Simulation. International Journal of Advanced Intelligence Paradigms, 22(1/2), 1–20.
• M. S. Narassima. (2022). An agent-based model to assess coronavirus disease 19 spread and health systems burden. International Journal of Electrical and Computer Engineering (IJECE).
• M. S. Narassima, S. K. Vasudevan, & S. P. Anbuudayasankar. (2022). Performance evaluation of a job shop by discrete event simulation approach using TOPSIS and a novel production scheduling algorithm. International Journal of Computer-Aided Engineering and Technology, 16(4).
• Narassima, M. S., Jammy, G. R., Pant, R., Choudhury, L., Aadharsh, R., Anbuudayasankar, S. P., & John, D. (2021). An Agent Based Model for assessing transmission dynamics and health systems burden for COVID-19. Indonesian Journal of Electrical Engineering and Computer Science, 24(3), 1735–1743.
• John, D., Narassima, M. S., Menon, J., Rajesh, J. G., & Banerjee, A. (2021). Estimation of the economic burden of COVID-19 using disability-adjusted life years (DALYs) and productivity losses in Kerala, India: a model-based analysis. BMJ Open, 11(8), e049619.
• M. S. Narassima, S. P. Anbuudayasankar, K. S. Balaji, & B. Ramasubramanian. (2021). Modelling and simulation of vaccine distribution: a COVID-19 situation. International Journal of Simulation and Process Modelling, 17(4), 303–318.
• Rangasami, P., Khumar, A. R. S., Narassima, M. S., & Anbuudayasankar, S. P. (2020). Analysing the process of Social Reintegration of Children in India. Journal of Critical Reviews, 7(5), 2081–2096.
• Narenthiran, N., Prasanna, P., Poongkundran, T., Anbuudayasankar, S. P., Narassima, M. S., & Aravind, P. (2020). An analysis of various factors influencing postharvest losses of the fruit and vegetable supply chain. International Journal of Postharvest Technology and Innovation, 7(4), 295–318.
• Narassima, M. S., Ilangovan, S., Anbuudayasankar, S. P., & Pavithran, P. (2019). Effect of reinforcement and aging time on wear behavior and mechanical properties of Aluminium LM4. International Journal of Engineering and Advanced Technology, 8(5), 2426–2433.
• Kaka, H. K., Srujan, P. K. S., Narassima, M. S., & Anbuudayasankar, S. P. (2019). Productivity Improvement of An Assembly Line using MOST and Heuristic. International Journal of Innovative Technology and Exploring Engineering, 8(9), 2278–3075.
• Sathish, N., Anbuudayasankar, S. P., Deepan, M., & Narassima, M. S. (2019). Procurement Methodologies to Optimize the Inventory Levels of Spare Parts. International Journal of Recent Technology and Engineering, 8(3), 2277–3878.
• Saravanan, A. M., Anbuudayasankar, S. P., David, P. A. W., & Narassima, M. S. (2019). Forecasting Techniques for Sales of Spare Parts. International Journal of Recent Technology and Engineering, 8(3), 27–30.
• M. Venkatramanan, S. P. Anbuudayasankar, & M. S. Narassima. (2019). Enhancement of Operational Performance of a Foundry. International Journal of Engineering and Advanced Technology, 8(5), 2325–2333.
• Narassima, M. S., Anbuudayasankar, S. P., Vasudevan, S. K., & Abhinavaram, J. (2017). Physicians’ and users’ perceptions towards wearable health devices. Indonesian Journal of Electrical Engineering and Computer Science, 5, 234–242.

Under Review

Has more than 40 working papers across various stages from planning till proofread.

Conference Series

• DR Harish, T Gowtham, A Arunachalam, MS Narassima, D Lamy, ... (2023). Productivity improvement by application of simulation and lean approaches in an multimodel assembly line. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2023.
• D Vineesh, SP Anbuudayasankar, MS Narassima (2018). Enhancing Dairy Manufacturing through customer feedback: A statistical approach. IOP Conference Series: Materials Science and Engineering 310 (1), 012097, 2018.

Book Chapters

• M Dwarakanath, MS Narassima (2021). Prevention of spreading of COVID-19 pandemic by way of effective waste management strategy. Mitigation of the Impacts caused by COVID-19 in Health, Food, and …, 2021.
• R Kishore, R Pradeep, S Roy, K Ravi Teja, MS Narassima, K Ganesh, ... (2020). Eco-Efficiency and Business Performance Evaluation—Lean and Green Manufacturing Approach. Intelligent Manufacturing and Energy Sustainability, 2020.

Book

• Narassima, M. S., V. S. K., P. S. R. (2025). DESIGN THINKING WITH PROBLEM-SOLVING TECHNIQUES, PHI Learning, India. https://www.phindia.com. https://www.phindia.com/Books/BookDetail/9789354439100/DESIGN-THINKING-WITH-PROBLEM-SOLVING-TECHNIQUES-NARASSIMA-VASUDEVAN-PULARI?srsltid=AfmBOorCbJXiM6xf07tTJQ2Fu4_eSWAuguzLrpPfovVdeROM-J96KFca

CopyRights

• John, D., Narassima, M. S., Mukherjee, N., & Bhattacharya, P. (2024). A Web-based Non-Health Gross Domestic Product Calculator (Registration No. 6311/2024-CO/L). Copyright Office, Government of India.
• John, D., Narassima, M. S., Mukherjee, N., & Bhattacharya, P. (2024). DALY CALCULATOR (Diary No. 7242/2024-CO/L). Copyright Office, Government of India.

Editorial Board Member

• International Journal of Generative AI in Business
• Journal of Intelligent Operations and Analytics
• SN Business & Economics

Academic Contributions & Invited Talks

• Guest Session Speaker: Delivered sessions on conducting research for select International Baccalaureate (IB) students of Grade 12.
• Chief Guest: Served as the Chief Guest for the SANMUN (Model United Nations) 2026 on 12 June, 2026 at Sri Sankara Senior Secondary School, Adyar, Chennai.
• Design Thinking Workshops : Handled Design Thinking workshops for Grade 12 students of GL Sri Sankara School, GLPS Senior Secondary School, and GL PSBB Millennium School in March and April 2026.
• Session Panel Chair: Contributed as a Panel Chair in the International Conference on Emerging Practices in Business and Management (ICEPBM) conducted on May 22-23, 2025 at the Saveetha Engineering College, Chennai.
• FDP Guest Session Speaker: Conducted a session on 'Publishing with Purpose' in the FDP conducted by the Department of Management Studies, IFET College of Engineering, on Research Writing and Publications in Scopus-Indexed Journals, June 28, 2025.
• FDP Resource Person: Served as a Resource Person for an FDP on 'Design Thinking Phases' conducted by the Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, from January 7 to 9, 2026.

Certifications

• Training the Trainer Program on SAP HANA S4 (GLIM, May 2026)
• Crash Course on Python (Coursera, Google (Feb 2022))
• Machine Learning for All (Coursera, University of London (Feb 2022))
• Introduction to Data Science in Python (Coursera, University of Michigan (Feb 2022))
• Increasing Efficiency and Reducing cost within a Supply Chain (GIAN at IIT Madras (June 2016))

Achievements & Key Awards

• Organizing Committee Member: Organizing committee member for Sportscom, Lattitude (the cultural fest of Great Lakes), faculty tour, and other events at Great Lakes Institute of Management, Chennai.
• Young Achiever Award: In recognition of outstanding performance and potential as a young scholar, awarded on Founders Day at Great Lakes Institute of Management.
• Scientific Reports 95th Percentile Publication: Our Nature Scientific Reports publication entitled 'Economic burden of breast cancer in India, 2000-2021 and forecast to 2030' is in the 95th percentile of tracked articles of a similar age
• BMJ Open Top 10% Publication (91st Percentile): Our article published in BMJ Open is in the 91st percentile of research outputs ever tracked by Altmetric (in the top 10% of all research outputs ever)
• Bounce Hackathon 1.0 Winner: Awarded the 'Crowd's Favourite Award' in Bounce Hackathon 1.0 in 2019
• JLL Hackathon Award: Received Certificate of Appreciation in the JLL Hackathon 2019
• Academic Excellence Awards: Received Academic Excellence Awards from Amrita School of Engineering in 2016 and 2017 during M.Tech.
• Academic Excellence: Have consistently secured Excellent feedback ratings as evaluated by Great Lakes Institute of Management for Research and Teaching
• Graduated with Distinction: Graduated with distinction in both M.Tech. (Manufacturing Engineering) and B.Tech. (Mechanical Engineering) programs