Self-motivated professional with a good hold in research field, an extensive experience in statistical analysis, Bayesian modelling, forecasting, time-series, data visualization, and quantitative research for more than 4 years. Aspiring to obtain the position which is challenging, gives me an opportunity that will develop and actively utilize my acquired skills. Seeking the role of increased responsibility and authority in statistical data and analysis. I have worked on almost 14 projects which are partially related to medical science and engineering data. Additionally, I hold a doctorate degree in Statistics with various publications in renowned journals. Moreover, I worked on an epidemiological project as a post-doctoral researcher sponsored by Harrisburg University of science and technology PA for one year. During my whole research period I used many statistical software's including SAS, R, SQL and Python for data analysis part of the projects.
Statistical analysis
I undertook a research project focused on developing a novel statistical model to analyze remission times (in months) for a randomly selected cohort of 128 bladder cancer patients. Leveraging the computational power of R software, I conducted an in-depth statistical analysis of the dataset. The final inference, drawn from the application of the dataset to the newly constructed model, demonstrated its superior fit compared to existing parallel models, reinforcing its efficacy in medical data analysis.
In another project, I applied an innovatively formulated statistical model, utilizing advanced statistical tools and computing techniques, to evaluate the breaking stress of carbon fibers of 55mm length. The analytical findings strongly indicated that the newly derived distribution provided a more precise and reliable representation of the data compared to previously established models. A significant aspect of this research was the Bayesian estimation of Generalized Probability Distributions, which played a crucial role in refining predictive accuracy.
Additionally, during my postdoctoral research, I contributed to an impactful study on wastewater analysis during the COVID-19 pandemic in the state of Pennsylvania, United States, . This research aimed to track viral presence and assess public health implications through statistical modeling of wastewater samples, offering valuable insights into disease prevalence and community-level transmission dynamics.
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Comprehensive Statistics and Excel Cheat Sheet for Data Science PUBLISHED BY AkiNik Publications, ISBN 978-93-5570-752-9