Dr  Prashant Verma

Department of Statistics, Faculty of Science, University of Allahabad, Old Katra, Prayagraj-211002
pr************@gmail.com
+91 893****756

Academic Qualification

*UG (Statistics, Psychology, Mathematics)
* PG in Statistics
*P.hd in Statistics

Position held

1. Statistician at Analytics Department, SBI, Navi Mumbai
2. Senior Research Fellow at BHU, Varanasi
3. Business Analyst at TCS, Bangalore

Publications

• Count data regression modeling: an application to spontaneous abortion, Reproductive Health, Bio-Med Central, Springer Nature 17, 106, ISSN: 1742- 4755.

• Population Control Under Various Family Planning Schemes in Uttar Pradesh, India, Genus, Springer Open, Vol. 75, No. 08, ISSN: 2035-5556.

• The Role of Change in Fertility Desire on Change in Family-planning Use: A Longitudinal Investigation in Urban Uttar-Pradesh, India, Gates Open Research, Bill & Melinda Gates Foundation, 3:1439, ISSN: 2572-4754

• Abortions followed by contraceptive failures in Northern India: an analysis of contraceptive histories (2009–2014)” has been published in the journal Genus, Springer Open, Vol. 76, No. 09, ISSN: 2035-5556.

• Adolescents’ Insight into STDs, HIV/AIDS, and Family Welfare Methods: Current Status and Myths from School-Based Study in Varanasi, India, Demography India, Special Issue, pp: 125-140, ISSN: 0970-454X.

• Pregnancy Risk during Menstrual Cycle: Misconceptions among Urban Men in India, Reproductive Health, Bio-Med Central, Springer Nature 14, 71, ISSN: 1742- 4755.

• Antibiotic susceptibility pattern of Helicobacter pylori against eight antibiotics: A study from North India, Helicobacter, 10.1111/hel.13093, 29, 3, (2024).

• Analysis of age-specific fertility in India: Deterministic and non-deterministic modeling approaches, International Journal of Population Studies, AccScience Publishing, Singapore, 1338. ISSN: 2424-8150.

• Offline Signature Verification: An Application of GLCM Features in Machine Learning, Annals of Data Science (AODS); Springer-Verlag GmbH Germany (2021). ISSN: 2198-5812; 2198-5804.

Experience

Reproductive Health, Public Health, Demography

Area of Specialization

Machine Learning, Reproductive Health, Public Health, Demography

Membership of other Professional Associations

ISPS (Indian Society for Probability and Statistics)

Dr. Prashant Verma is an Assistant Professor at the Department of Statistics, University of Allahabad. Dr. Verma holds a Ph.D. in Statistics from Banaras Hindu University. He has over 7 years of experience as a Statistician at the State Bank of India, Mumbai, and a Business Analyst at TCS, Bangalore. He developed a Machine Learning personal loan model for SBI, generating a Rs. 60,000 Crores business. Dr. Verma possesses advanced Machine Learning and Deep Learning expertise, having completed specialized courses with NVIDIA and Times Professional Learning. He is a recipient of the UGC NET-JRF fellowship and the Basic Scientific Research Fellowship. Dr. Verma has published over 16 articles in various SCI/Q1/Q2/Scopus International journals like Biomedical Central (BMC), Annals of Data Science, Genus, Helicobacter, and other Springer journals. He recently authored one book, Practical Data Analytics for BFSI, focusing on Machine Learning & Deep learning applications in the Banking and finance sector. He also contributed 6 chapters to 2 edited books under CRC Press, Taylor & Francis.
Dr. Verma received travel awards from various agencies like the Indian Council of Medical Research (ICMR), Indian Council of Social-Science Research (ICSSR) and Science and Engineering Research Board (SERB, DST) to attend international conferences like 7th African Population Conference, South Africa, Annual conference of Population Association of America, USA., and Asian Population Conference, China. He received a certificate of appreciation from the International Conference on Family Planning, Bill & Melinda Gates Institute for Population and Reproductive Health. He presented more than 20 research papers at various national and international conferences. He delivered over 10 lectures and chaired sessions at national and international workshops on statistical methodologies. Dr. Verma is also contributing as a reviewer for various International Journals.