AI Data Analyst with a strong academic background in Computer Science and Engineering. He has hands-on experience in deep learning for clinical image denoising and has worked on diverse projects including diabetes prediction and COVID-19 surveillance. He has held roles as a Python Backend Engineer and Java Software Engineer, with expertise in data analysis, predictive modelling, and API development. His technical skills encompass Python, Java, TensorFlow, PyTorch, SQL, and big data platforms, with proficiency in data visualisation and machine learning.SkillsAI ConsultantData ScientistEducationFeb 2022 - Dec 2023 Master of Artificial Intelligence at Monash UniversitySept 2017 - July 2021 Bachelor of Computer Science and Technology at Chengdu University of Information TechnologyExperienceJuly 2023 - Present Research Assistant at Monash University– Project Title: Preventing diabetes through behaviour change: the impact of real-time food classification based on post-meal glucose excursion (the Glook 3 trial)– Data Analysis & Visualisation: Analysed users' glucose measurements and employed Tableau to visualise data, identifying key characteristics and patterns.– Data Management: Utilised automated scripts to streamline data cleaning and integration processes, ensuring accuracy and efficiency.– Predictive Modelling: Implemented deep learning models to predict the impact of food consumption on users' glucose levels, contributing to the project's core objective of understanding and preventing diabetes through behavioural change.Sept 2021 - Dec 2021 Python Backend Engineer at Haichuang Cloud Overseas Computing Technology– Data Management: Led a multidisciplinary team in managing customer data, utilising SQL on MySQL and big data platforms Hive and Druid. Oversaw data cleaning and feature engineering, driving improvements in the risk control team's decision-making processes.– API Development: Engineered and deployed real-time APIs with the Flask framework, leveraging the company's in-house machine-learning models. Achieved significant budget reductions and boosted profitability.– Automation & Efficiency: Pioneered the design of an automated data acquisition system for the risk control team, consistently processing 300k items daily. This innovation resulted in substantial time and cost savings.– Predictive Modelling: Formulated a credit fraud prediction model using TensorFlow, enhancing the assessment of lender reliability. The model was seamlessly integrated into core business functions, improving operational efficiency.March 2021 - Apr 2021 Java Software Engineer at Beijing Huaqing Vision Technology Development– Public Health Tech Solution: Spearheaded the development of a COVID-19 surveillance system using the robust Spring framework. The system effectively visualised data for new patients across all cities in China, serving as a pivotal tool during the pandemic.– Data Visualisation: Crafted user-friendly dashboards and visualisations, ensuring health officials received swift insights. This tool was instrumental in driving timely public health decisions during a critical period.
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