Web Design
Nina Kajiji, Ph.D.

Placeholder  Image

Degrees and Certifications:

University of Bombay, India (1980)

MBA University of Rhode Island (1982)

M.S. in Statistics, University of Rhode Island (1991)

Ph.D. Applied Mathematics, University of Rhode Island (2001)

pstat® Accredited Professional StatisticianTM (2013-2024)

Full Curriculum Vitae

Nina is the Managing Principal of The NKD Group, Inc.  The firm produces web-enabled analytical and decision-making software. The main product, WinORS-2021 is a full-featured cloud based computational system designed to bring principles of financial engineering, statistics, operations research, and econometrics with real-time data to foster experiential learning in the academic classroom.

Additionally, consulting is provided for several Big Data projects. Of note, is the intra-day and daily yield curve generated daily for all trades in the secondary municipal market. Current data base size is 99+ million trades and growing.

Research & Publishing
My research focuses on applying data science concepts to the domain of computational finance, computational neuroscience, and neuroethics. Besides having several academic publications, two e-Books, I have over 30 conference presentations since 2018.

Current working papers are:

  • Performance prediction using neural networks and explainable AI for small, medium, and micro enterprise in South Africa
  • Classification for firms in distress in Zimbabwe using a neural networks.
  • Investigating multi-disease states in Medicare patients during the COVID pandemic using a multivariate neural network
  • ESG and portfolio optimization
  • Volatility spill-over models during the COVID regime

In addition to my research and consulting responsibilities, I have taught several courses in Statistics, Time Series Analysis, Operations Research, and Finance at the University of Rhode Island, Rhode Island College, and Johnson & Wales University.  She was invited as a Visiting Professor of Statistics at the University of Palermo's international MBA program, ISIDA. where she taught Advanced Multivariate Methods. My interest in Big Data and predictive analytics resulted in developing a GenEd course, DSP 393, for the new Data Science major at the University of Rhode Island.