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Erandi Liyanage

@erandiliyanage

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Experienced researcher specializing in deep learning and data analysis.

Australia

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What I'm looking for

I am looking for opportunities that foster innovation and collaboration in data science.

I am an experienced researcher with a strong background in training deep learning models and neural networks. My expertise lies in programming with SQL, Python, and SAS, as well as data visualization. I have a proven track record of building deep learning models that address real-world clinical problems, showcasing my high-functioning curiosity and research aptitude.

Currently, as a PhD candidate at the University of Technology, Sydney, I am developing and training machine learning models for multiclass classification. I have established a deep learning model that classifies clinical voice data with impressive accuracy and precision. My work has led to submissions to high-impact journals, demonstrating my commitment to advancing knowledge in the field. I also integrate attention-based transformer models to enhance prediction accuracy, further solidifying my research contributions.

In my previous roles at Neuroscience Research Australia and Northern Sydney Local Health District, I generated statistical reports for research publications and maintained meticulous records of clinical data. My experience includes establishing secure data storage systems and performing quality assurance checks to ensure data integrity. I am passionate about leveraging my skills in data science and machine learning to make informed clinical decisions and contribute to impactful research.

Experience

Work history, roles, and key accomplishments

Current

PhD Candidate

Current

University of Technology, Sydney

Jan 2024 - Present (1 year 5 months)

Developed and trained machine learning models for multiclass classification, utilizing Python libraries such as PyTorch and TensorFlow. Established a deep learning model for clinical voice data, achieving 84.5% accuracy and 84.8% precision, and successfully submitted findings to high-impact journals. Implemented and published novel models on GitHub, while also strengthening model robustness throug

Deep Learning Machine Learning PyTorch TensorFlow Python Neural Networks Data Classification Git Research

Researcher

Neuroscience Research Australia

Jan 2023 - Present (2 years 5 months)

Generated statistical reports for research publications using SAS, Prism, and Python libraries, and assisted in comprehensive data management tasks. Established a human sample repository and a secure data storage system, collaborating with IT, research, and clinical teams to ensure compliance with data governance. Performed rigorous quality assurance checks on data to maintain accuracy and reliabi

Statistical Analysis SAS Python Data Management Data Governance Quality Assurance Collaboration Data Security Publications

Data Analyst

Northern Sydney Local Health District

Aug 2018 - Present (6 years 10 months)

Generated statistical reports for research publications using SAS, Prism, and Python, producing publication-standard reports with statistical and visual data representations. Maintained electronic records of clinical data in Excel and entered pathology data into electronic databases with high attention to detail. Transferred medical records while ensuring data integrity and security, and presented

Data Reporting SAS Python Data Entry Data Integrity Data Security Excel Data Visualization Presentation Skills

Research Assistant

University of Sydney

Jan 2016 - Present (9 years 5 months)

Maintained meticulous records of all experiments, protocols, and results within an electronic database. Utilized data manipulation software like GraphPad Prism and Python for comprehensive research data visualization and analysis. Provided training to junior staff on the data management system used for storing research data.

Data Management Data Analysis Graphpad Prism Python Training Data Visualization Research

Education

Degrees, certifications, and relevant coursework

University of Technology, Sydney

PhD Candidate, Machine Learning

Developing and training machine learning models for multiclass classification, utilizing Python libraries like PyTorch and TensorFlow. Established a deep learning model for clinical voice data classification with high accuracy and precision. Implementing and publishing novel models using Python codes on Github.

University of Technology, Sydney

Master of Research, Data Science

Undertook advanced studies in data science, focusing on research methodologies and practical applications. Developed expertise in data analysis, machine learning, and statistical modeling.

UTS:Insearch

Diploma of Science, Science

Pursued foundational scientific studies, providing a broad understanding of various scientific disciplines. Developed essential academic skills and prepared for further higher education in science.

University of Technology Sydney

Bachelor of Biomedical Science, Biomedical Science

Completed foundational studies in biomedical science, covering key areas such as human biology, disease mechanisms, and research principles. Gained a comprehensive understanding of scientific methodologies relevant to health and medicine.