Rischan Mafrur

I am a naturally curious person, especially when it comes to anything related to data. I am passionate about data science and analytics, and I also enjoy teaching. I earned my PhD from The University of Queensland (UQ), Australia (my dissertation). My research focuses on the intersection of financial data engineering, AI systems, and digital asset analytics, with ongoing collaborations across Australia and Southeast Asia.

Previously, I worked as a researcher at Macquarie University, Australia, where I collaborated with financial data specialists on Australian Securities Exchange (ASX) and digital asset data pipelines. My responsibilities included extracting raw data from the ASX, processing corporate actions and pricing data, and preparing end-of-day datasets for academic research. I also contributed to the development of a cryptocurrency data warehouse that collects data from decentralised finance (DeFi) protocols and transforms it into analysis-ready datasets for academic research.

In addition, I have delivered sessions for an advanced data analytics upskilling program hosted by UNSW Sydney (Mentem), supporting professionals from Commonwealth Bank (CBA) and the NSW Government across diverse technical and non-technical backgrounds. I also work as a data scientist on a casual project basis, undertaking multiple client-requested projects across data analysis, automation, and applied analytics. Across these roles, much of my work has been carried out remotely while living a nomadic lifestyle with my family.

In my free time, I often participate in Kaggle data science competitions, and I am currently a Kaggle competition expert. I also frequently undertake casual projects related to data science, including analysis and machine learning modelling. I worked as a back-end software engineer at Kartoza Pty Ltd from 2015 to 2017. If you need assistance with data-related problems, please don’t hesitate to send me an email.