I completed my Ph.D. in computer science at La Trobe University in 2014. My area of academic interest is Data Science and Information Technology. I have extensive experience using Python, C#, Java, and SQL servers. I possess the critical thinking ability to analyze, generate solutions to achieve objectives, and offer creative insights into problem-solving in research. I am a highly qualified and skilled computer science graduate with outstanding abilities in programming, software development, data analysis, and predicting business data. I excel in creating methods and developing algorithms for queries on uncertain data, computational and statistical analysis, and managing database systems. I have a proven ability to undertake complex project work with a high level of proficiency.

Currently, I am a casual lecturer and academic researcher in Computer Science and Information Technology at La Trobe University. My current research interests revolve around machine learning, deep learning, and Artificial Intelligence. These encompass creating query answers and processing uncertain data in distributed databases, predicting stock market trends using machine and deep learning, and applying Artificial Intelligence and data mining techniques. These research areas have been widely studied and challenged by scientists worldwide. My primary interest lies in building solutions and developing novel algorithms based on Artificial Intelligence and machine learning to have a real-world impact. My overarching research goal is to continue developing and establishing an international reputation in Computer Science.