Vinay Kumar

• Qualified and motivated with expertise in Applied Mathematics, Probability, Statistics, Queueing Systems, Python, and R.
• I bring a strong analytical perspective and a passion for solving complex problems using mathematical modelling and data analysis techniques.
• My specialization in Queueing Systems has given me the skills to model and analyze complex queuing systems.
• My comprehensive understanding of queueing theory allows me to improve system performance, optimize resource allocation, and minimize wait times.
• Currently studying to use the queue models in financial mathematics (Modelling of limit order book and Trading strategies).

• Qualified Gate 2015.
• Qualified JAM 2012.
• Qualified CSIR-JRF (JUNE 2016).

• Participated in Joint Indo-Japanese Smart City Conference 2022.
• Participated in CFE-CMStatistics 2023, conference in Berlin, Germany.
• Attended workshop on ``Harnessing Big Data for Precision Medicine and Healthcare workshop, Leibnitz AI Lab."

• Vinay Kumar and Neelesh S. Upadhye, “On first-come, first-served queues with three classes of impatient customers”. In: International Journal of Advances in Engineering Sciences and Applied Mathematics, vol. 13, no. 4, pp. 368–382, 2021.
• Vinay Kumar, Astha Sathe, Neelesh S Upadhye and Jayant Jha (2022) ``Statistical Analysis of Reproduction Number of India for COVID-19 Pandemic" In: Journal of the Orissa Mathematical Society.
• An article entitled ``Modeling and Simulation of First-come, First-served Queueing System with Impatient Multiclass Customers" (revision submitted).
• An article entitled ``Modeling and Analysis of discrete-time multi-class randomly alternating queueing system with Bernoulli arrivals" (Communicated).

Playing Cricket and Badminton.

I hereby declare that all the information given above is true to the best of my knowledge as on May 26, 2024.