About me: I am pursuing a PhD in data science from University College Dublin, Ireland, demonstrating knowledge of data science and expertise in statistical data integration and analysis. I am skilled in the bayesian analysis, predictive analytics, and feature engineering. Currently, my research is focused on understanding the variations in metabolite levels at an individual level. My Vision: I like developing novel machine learning, and artificial intelligence (AI) approaches to address engaging data science challenges. The big data now being generated contain the answers to several important issues. For instance, we can analyze client preferences in e-commerce or find the genes that cause cancer. However, because these data are so large and frequently originate from several sources, a single human brain cannot fully comprehend the intricate links among them. And AI or machine learning can find a solution to this issue. I aim to use AI powered by big data and human expertise. Machine Learning Models (I work with): Generalized Linear & Non-linear (Kernelized) Regression, PCA, CCA, Random Forest, Probabilistic and Bayesian Inference Programming languages (I code in): Python, R, SQL, C/C++