Dr. Anjali

About

Dr. Anjali holds a Ph.D. in Applied Statistics from Vellore Institute of Technology (VIT), Vellore, and a Masters degree in Statistics and Operational Research from Kurukshetra University, Haryana. She also earned her B.Sc. (Honors) in Mathematics from the University of Delhi. Her academic background encompasses applied statistics, machine learning, data science and analytics, statistical modelling, multivariate statistics, time-series analysis, and spatiotemporal analysis. Dr. Anjali has published five research papers in reputed peer-reviewed journals. Her research primarily focuses on the application of statistical and computational methods to public health and social issues, with particular emphasis on spatio-temporal modelling and suicide dynamics in India. She is proficient in statistical software such as SPSS, STATA, SaTScan, and CrimeStat, and possesses programming expertise in R and Python.

Experience

N/A

Qualification

• Ph.D. (Statistics), Vellore Institute of Technology, Vellore, Tamil Nadu
• M.Sc. (Statistics and Operational Research), Kurukshetra University, Haryana
• B.Sc (Mathematics), University of Delhi, Delhi

Research

• Anjali, B. Rushi, and Jitendra Kumar (2021). Spatio-Temporal Aspect of Suicide and Suicidal Ideation: An Application of SaTScan to Detect Hotspots in Four Major Cities of Tamil Nadu. Journal of Scientific Research, 65(9).
• Anjali, and B. Rushi Kumar (2024). Exploring Cause-Specific Strategies for Suicide Prevention in India: A Multivariate VARMA Approach. Asian Journal of Psychiatry, 92, p.103871.
• Anjali, and B. Rushi Kumar (2024). Spatial Analysis of Multivariate Factors Influencing Suicide Hotspots in Urban Tamil Nadu. Journal of Affective Disorders Reports, 16, p.100741.
• Anjali, and B. Rushi Kumar (2025). Spatiotemporal dynamics and Policy Impact on Farmer Suicides in Maharashtra, India. Scientific Reports, 15(1), p.19210.
• Anjali, and B. Rushi Kumar (2025). Space-Time Clustering and Bayesian Network Modeling of Suicide Dynamics in India, Journal of Computational Social Science, 8(4), 1-30.

Certifications

• Workshop: Attended a national workshop on “Statistics and Data Analytics using SPSS software” organized by “CSIR- Central Leather Research Institute” in collaboration with SPSS on July 2, 2024.
• Short-Term Training Program: Participated in a 1.5-month certification program “Advanced Machine Learning and Deep Learning Using Python” offered by RV Institute of Management, Bangalore, from July 15 -August 31, 2023, which included hands-on instruction for four weeks and a two-week capstone project on real-world problems.
• Short-Term Training Program: Participated in Online Short-Term Training Program on “Data Science and Statistical Analysis through R and Python Software” organized by the Department of Mathematics (DoM), SVNIT Surat, in association with the CCE, SVNIT Surat during May 10–14, 2023.
• Short-Term Course: Attended a Five Day Online Short-Term Course on “AI and IoT in Biomedical Engineering” held from 02 May to 06 May 2023 organized by the Department of Computer Science and Engineering, IIIT Bhagalpur.
• Internship: Interned at the National Institute of Medical Statistics, ICMR, in Delhi. As part of
• this training program, collaborated on a group project titled “Factors Associated with Stunting among Children under Age 5 Years in Uttar Pradesh, India”, using the software STATA.

Area of Interest

• Applied Statistics
• Multivariate Analysis
• Spatio-temporal Analysis
• Machine Learning
• Data Science