RAGHUL GANDHI VENKATESAN

I am a highly motivated and results-driven researcher with a deep expertise in Applied Statistics, particularly in the areas of advanced statistical modeling, survival analysis, and machine learning. My passion lies in harnessing the power of data to address complex challenges in public health, education, and social sciences. Over the years, I have developed a robust skill set in quantitative research methodologies, including multilevel modeling, and social network analysis, which I have successfully applied to various interdisciplinary projects.

My work is driven by a commitment to contribute to impactful research that not only advances academic knowledge but also has practical applications in improving societal outcomes. Whether it’s predicting school dropouts, analyzing barriers to healthcare access, or mapping social networks in marginalized communities, I approach each research question with a strong analytical mindset and a dedication to producing actionable insights.

I continuously strive to stay at the forefront of my field by integrating the latest analytical techniques and methodologies into my research. I am passionate about collaborating with multidisciplinary teams to explore innovative solutions and drive positive change. My goal is to make a meaningful contribution to the academic and research community by tackling pressing societal issues through rigorous, data-driven approaches.

• Survival Analysis
• Machine Learning
• Meta-Analysis
• Spatial Analysis
• Social Network Analysis

• Presented a paper titled “Understanding the Life of Transgender Community: A Statistical Approach” in the “International Virtual Conference on Disciplinary, Interdisciplinary and Multidisciplinary Research” on 14 – 15 October 2021 organized by Chaitanya University.
• Presented a paper titled “Identification of Influential Persons among Transgender Health: A Social Network Approach” at Research Day organized by the Directorate of Research, SRM Institute of Science and Technology on 28th February 2022.
• Presented a poster entitled “Detection of hotspots of cervical and breast screening in Tamil Nadu: A District Level Analysis” in National Family Health Survey-5: Insights for the Intervention on 28th February 2022 organized by SRM Institute of Science and Technology.
• Presented a paper titled “Situational Analysis on Secondary School Dropout in Indian Districts: An Education Data Mining” in “International Conference on Mathematical Techniques and Applications (e-ICMTA-2022) on 23-25 March 2022 organized by SRM Institute of Science and Technology.
• Presented a paper titled “What Do People Share About the Tamil Nadu Board Exam Results on Twitter? A Text-Mining Approach” in International Conference on Knowledge Discoveries on Statistical Innovations and Recent Advances in Optimization (ICON-KSRAO) o 29-30 December 2022 organized by Andhra University.

• Attended 2-days Online National Workshop on “Development of Research Tools and Data Analysis using Statistical Package” from 21 to 22 February, 2022 Organized by Department of Adult and Continuing Education, University of Madras, Chennai.
• Participated in the 5 days international short term training programme on “Design of the time Series Models and its Applications on Disaster Management and Mitigation” from 21 to 25 February, 2022 organized by NICMAR, Govt. of India in collaboration with SRM Institute of Science and Technology, Chennai.
• Participated in the 5 days International Workshop on “Integrated Approaches of Stochastic Modelling and Data Science for Sustainable Development” from 07 to 11 September, 2022 organized by S.V. University, Andhra Pradesh.
• Participated in the 5 days “High-End Workshop on Stochastic Modeling Technique” from 20 to 24 February, 2023 organized by Indian Institute of Technology (Indian School of Mines), Dhanbad sponsored by SERB (KARYASHALA), DST, Government of India.

• Systematic Review and Meta-Analysis
• Basic Statistics
• Advanced Statistics
• Survey Methodology
• Introduction to R

Led multiple workshops and training courses at the Centre for Statistics, SRM Institute of Science and Technology, sharing expertise in advanced statistical methods and data analysis., Provided mentorship to junior researchers and students, offering guidance on research methodologies, statistical analysis, and academic writing. Assisted in the development of research proposals and grant applications, contributing to the successful acquisition of funding for various research projects.

• Completed “Introduction to Biostatistics” an online course authorized by Indian Institute of Technology, Bombay.
• Completed “Population Studies” an online course authorized by Indian Institute of Technology, Kanpur.
• Completed “Cost Accounting” an online course authorized by Indian Institute of Technology, Bombay.
• Completed “Python for Data Science” an online course authorized by Indian Institute of Technology, Madras.
• Completed “Introduction to Systematic Review and Meta-Analysis”, an online course authorized by Johns Hopkins University.
• Completed “Diploma in Machine Learning with R studio” certification course at ALISON.

• Awarded best poster for presentation of the paper entitled “Detection of Hotspots of School Dropouts in India: A Spatial Clustering Approach” at Dr. Paarivendhar Research Colloquium organized by the Directorate of Research, SRM Institute of Science and Technology on 26-28th March, 2024.
• Awarded gold medal for presentation of the paper entitled “Identification of Influential Persons among Transgender Health: A Social Network Approach” at Research Day organized by the Directorate of Research, SRM Institute of Science and Technology on 28th February 2022.
• Secured First Prize for presentation of the poster titled “Detection of hotspots of cervical and breast screening in Tamil Nadu: A District Level Analysis” in National Family Health Survey-5: Insights for the Intervention on 28th February 2022 organized by SRM Institute of Science and Technology.
• Secured First Place for presentation of the paper titled “Identification of Comorbidity Patterns in Covid-19 Deceased Patients : A Social Network Approach” in One day National Level Online Symposium “MATHEMA’21” on 05 May 2021 organized by Department of Mathematics, Dr.M.G.R. Educational and Research Institute.
• Secured University First Rank in B.Sc Mathematics in the year 2015-2018.
• Awarded Student of the year (Mr. Claret) in SSLC for the year 2012-2013.

• Detection of Hotspots of School Dropouts in India: A Spatial Clustering Approach, Venkatesan, R. G., Mappillairaju, B., PLoS One, 2023, 18, 1, e0280034
• Myocarditis Manifestations in Dengue Cases: A Systematic Review and Meta-Analysis, Sandeep, M., Padhi, B. K., Yella, S. S. T., Sruthi, K. G., Venkatesan, R. G., Sasanka, K. S. B. S. K., Satapathy, P., Mohanty, A., Al-Tawfiq, J. A., Iqhrammullah, M., J. Infect. Public Health, 2023, 16, 11, 1761–1768
• Exploring Statistical Approaches for Predicting Student Dropout in Education: A Systematic Review and Meta-Analysis, Venkatesan, R. G., Karmegam, D., Mappillairaju, B., J. Comput. Soc. Sci., 2023, 1–26, 10.1007/s42001-023-00231-w
• Exploring Determinants of School Dropout across Regions in India: A Comprehensive Meta-Analysis, Venkatesan, R. G., Karmegam, D., Mappillairaju, B., Springer Nature Singapore, 2024, 10.1007/s42001-024-00285-4
• Psychological Health among Healthcare Professionals during COVID-19 Pandemic: An Updated Meta-Analysis, Narapaka, P. K., Katikala, K., Ponnala, V. R., Meenakshi, S., Viswas, G., Singh, M., Venkateshan, R. G., Dhingra, S., Indian Journal of Psychiatry, Medknow, 2024, 413–420
• Early Student Dropout Detection in Indian Secondary Education with Special Reference to Selected Districts in Tamil Nadu: A Machine Learning-Based Survival Analysis Approach, Venkatesan, R. G., Mappillairaju, B., J. Comput. Soc. Sci., 2024, 1–23