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I'm a data science professional with a strong background in anomaly detection, machine learning, and large-scale data analytics. I enjoy turning complex datasets into actionable insights and collaborating with cross-functional teams to support strategic decision-making. Currently completed a PhD at Monash University, I research unobtrusive sensors to monitor senior wellbeing and detect early health changes. I combine domain knowledge from medical experts with unsupervised modeling and data visualization to empower personalised health monitoring and better patient outcomes.…I'm a data science professional with a strong background in anomaly detection, machine learning, and large-scale data analytics. I enjoy turning complex datasets into actionable insights and collaborating with cross-functional teams to support strategic decision-making. Currently completed a PhD at Monash University, I research unobtrusive sensors to monitor senior wellbeing and detect early health changes. I combine domain knowledge from medical experts with unsupervised modeling and data visualization to empower personalised health monitoring and better patient outcomes.

Yueyi (Renee) Ge

Data Scientist, Data Analyst, Data Visualizer, +1

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I'm a data science professional with a strong background in anomaly detection, machine learning, and large-scale data analytics. I enjoy turning complex datasets into actionable insights and collaborating with cross-functional teams to support strategic decision-making. Currently completed a PhD at Monash University, I research unobtrusive sensors to monitor senior wellbeing and detect early health changes. I combine domain knowledge from medical experts with unsupervised modeling and data visualization to empower personalised health monitoring and better patient outcomes.…I'm a data science professional with a strong background in anomaly detection, machine learning, and large-scale data analytics. I enjoy turning complex datasets into actionable insights and collaborating with cross-functional teams to support strategic decision-making. Currently completed a PhD at Monash University, I research unobtrusive sensors to monitor senior wellbeing and detect early health changes. I combine domain knowledge from medical experts with unsupervised modeling and data visualization to empower personalised health monitoring and better patient outcomes.

Available to hire

I’m a data science professional with a strong background in anomaly detection, machine learning, and large-scale data analytics. I enjoy turning complex datasets into actionable insights and collaborating with cross-functional teams to support strategic decision-making.

Currently completed a PhD at Monash University, I research unobtrusive sensors to monitor senior wellbeing and detect early health changes. I combine domain knowledge from medical experts with unsupervised modeling and data visualization to empower personalised health monitoring and better patient outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Chinese

Advanced

Work Experience

PhD Candidate / PhD Project at Monash University

January 1, 2021 - January 1, 2025

Monitored health and well-being of seniors using unobtrusive motion sensors; developed models to detect significant routine changes related to illness onset; integrated domain knowledge from medical experts to simulate abnormal behaviours and explored unsupervised methods to identify visitor presence for personalised health monitoring.

Data Scientist Intern at Applied Precision Medicine Pty Ltd

December 1, 2019 - March 1, 2020

Built an automated data collection pipeline for ECG monitoring devices; stored and analyzed ECG datasets using Oracle Autonomous Cloud; evaluated AI-based patient–psychologist matching system concepts and produced a technical report on healthcare AI adoption.

Data Analyst at 61 Financial Information Technology Pty Ltd

July 1, 2017 - February 1, 2019

redesigned data entry workflows to reduce processing time; extracted, processed, and analyzed ASX-listed company financial data using SQL, Python, and Excel to inform strategic decisions; developed automated reporting models for performance and translation summaries.

eExams Supervisor at Monash University

June 1, 2021 - Present

Coordinated remote eExams across multiple faculties, providing technical support and troubleshooting; supervised Alternate Assessment Arrangements to ensure fair exam experiences; collaborated with academic, medical, and technical staff to improve workflows.

Accountant (Internship) at The Leprosy Mission Australia

October 1, 2016 - December 1, 2016

Managed end-to-end accounts payable/receivable and reconciliations; supported month-end closing and prepared financial reports; collaborated with the finance team and vendors to resolve queries.

Volunteer at Cancer Council Australia

January 1, 2014 - January 1, 2015

Assisted with event registration, participant support and fundraising activities; demonstrated strong interpersonal and organizational skills.