Biography
I am a passionate data scientist and graduate research associate at the University of Texas at El Paso, specializing in machine learning, deep learning, and AI. I am currently pursuing PhD degree in Data Science, focusing on Bayesian Neural Networks (BNN) and randomized smoothing techniques to enhance model robustness, particularly in adversarial settings. With a solid academic background, including an M.S. in Applied Statistics from the University of Dhaka, I have contributed to notable research on survival analysis and machine learning applications. I also worked as a senior data scientist at Insightin Technology Bangladesh, where I managed client projects, designed ETL pipelines, and utilized NLP techniques for healthcare data analysis. I have also received prestigious awards, such as the Conference Award for Scientists by the International Society for Clinical Biostatistics (ISCB). My technical skills span multiple programming languages and data science tools, including R, Python.
Academic Information
Status: PhD Student
Year in Program: 2nd
Major/Specialty: Applied Statistics, Survival Analysis, Machine Learning, Deep Learning, Cybersecurity in Neural network.
Degrees: Ph.D. in Data Science (in progress), University of Texas at El Paso, expected completion in 2029 M.S. in Applied Statistics, Institute of Statistical Research and Training, University of Dhaka, 2022 B.S. in Applied Statistics, Institute of Statistical Research and Training, University of Dhaka, 2019
Research Areas
Applied Mathematics; Computer Science; Data Science; Machine Learning/AI
Research Interests
Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Bayesian Neural Networks, Robust Modeling, Cybersecurity in Neural Network
Topical Areas
Applied Mathematics; Artificial Intelligence and Intelligent Systems; Health Sciences; Statistics and Probability
Relevant Coursework
Machine Learning (CS) Data Mining (CS) Advanced Statistics (Applied) Computational Methods of Linear Algebra in Data Science (Applied) Statistical Modeling (Applied) Reliability analysis (Applied)
Publications & Research Projects
Published in South Asian Survey, SAGE Journals: "Rapid Consumption Survey Methodology: An Empirical Study in Bangladesh" (DOI: 10.1177/09715231221087012) Conference presentation: The 43rd Annual Conference of the International Society for Clinical Biostatistics (ISCB), Newcastle upon Tyne, UK, 2022 Thesis on "Implementation of LightGBM and XGBoost to Survival Data under AFT Model" (supervised by Dr. Md Hasinur Rahaman Khan)