Rasseeda Virgo has over five years of experience in data analytics across both academia and industry. She holds a master’s degree in Big Data Analytics and is currently pursuing a Ph.D. in Radiomics, specialising in MRI brain tumour analysis. Her research focuses on evaluating radiomic image segmentation metrics for Glioma tumours. In addition to her Ph.D. work, she contributes to various data analysis projects within AS&RU. She is proficient in R and Python.

Education/Qualifications:

• Radiomics: Image segmentation of Glioma Brain Tumours, PhD – Pending
• Big Data Analytics, MSc
• Engineering Business Management, MSc
• Business Information Technology, BSc (Honours)

Statistical & Probabilistic Models Skills:

• Bayesian Networks
• Hidden Markov Models
• Time Series Forecasting

General Skills:

• Survey analysis
• Report writing
• Data modelling
• 3D image segmentation model (building using neural networks)
• Data pre-processing
• UML diagrams
• NoSQL
• project management.

Software: 

• Python
• R

Operating system:

• Linux