PhD Scholar CENTRAL UNIVERSITY OF SOUTH BIHAR India
Ashutosh Gaurav is a dedicated data analyst and academic professional associated with the Department of Statistics at the Central University of South Bihar. With a strong foundation in statistical analysis and data visualization, he has contributed significantly to research in areas such as factor analysis, cluster analysis, and the psychological well-being of older adults.
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Education 🎓
- PhD in Statistics, Central University of South Bihar
- M.Sc. in Statistics: B+ Grade, Patna University
- B.Sc. in Statistics: 79.62%, Patna University
- Higher Secondary: 68%, Bihar School Examination Board
Experience 💼
- Data Analyst at Infotrenz Solution
- Academic and research involvement at the Central University of South Bihar
- Internship at NSSO FoD Shimla in 2016
Research Interests 🔬
- Data Analysis and visualization
- Factor Analysis and Cluster Analysis
- Application of tools like Tableau, AMOS, and statistical modeling
- Psychological well-being and its association with social and family dynamics
Skills 🛠️
- Proficient in Tableau, AMOS, and data visualization
- Expertise in Factor Analysis and Cluster Analysis
- Skilled in Data Analysis and project management
Projects 📊
- Effect of Demonetization on Cashless Transactions: A primary study to examine the impact of demonetization on cashless transactions among students of the Central University of South Bihar.
Publications Top Notes: 📚
The impact of the social and family environment and leisure activities on the psychological well-being of older adults in India: Findings from LASI round-1
Authors: Gaurav A, Mishra A, Kumar S, Singh DK
Published in NPG Neurologie-Psychiatrie-Gériatrie, 2024 Dec 21
URL: https://doi.org/10.1016/j.npg.2024.11.005
Mental Health of Older Professionals and Agricultural Workers from a Gender Perspective in India
Authors: Mishra A, Gaurav A, Kumar S
Published in Journal of Research in Health, 2025; 15(1):41-50
URL: http://jrh.gmu.ac.ir/article-1-2546-en.html
Modelling and Forecasting of Chronological Data Using Artificial Neural Network