I am a PhD candidate at the Discipline of Business Analytics of the University of Sydney, Australia. I am currently working on the application of machine learning and graph-based techniquies for stock market prediction. I have several publications in this regard which are as follows.

2021: IEEE Access, IJCNN

2022: JDSA

I have in-depth understanding of both theoretical and practical aspects of major supervised and unsupervised machine learning models. I have gained significant expertise in the following data science packages through teaching, research, and industry experience.

Numpy, Pandas, Keras, Scikit-Learn, Tensorflow, PyTorch, Statsmodels, NetworkX, Stellargraph, Matplotlib, Seaborne