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Data analyst with more than 3 years experience in data cleaning, organising, modelling and interpreting various types of statistical figures in order to drive successful solutions. Highly analytical and process-oriented person with in-depth knowledge of machine learning, data structures, statistics, big data analysis, data visualisation and data management.

I am skilled in Python, SQL, database, SAS, R, Statistics and Machine learning.

University of New South Wales

Research Student

Vivian Hsu

Victor Chang Cardiac Research Institute

Utilized Python and Cloud Computing to implement bioinformatic techniques for my 
 	 repeat expansion detection analysis on 27 TB of patients' Whole Genome Sequencing data 
 	 Developed the pipeline of systematic methodology to investigate the potential genetic 
 	 cause of Spontaneous Coronary Artery Dissection SCAD by using bioinformatics and 
 statistical techniques 
 	 Observed the high concordance of repeat extensions occurred in FMR1 gene region 
 	 identified by TREDPARSE and ExpansionHunter

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