- Developed and optimized machine learning models using Python libraries such as TensorFlow, Keras, and Scikit-learn, enhancing predictive accuracy and efficiency.- Integrated machine learning models into web applications, enabling real-time data analysis and user-specific insights.- Designed and implemented dynamic web applications using React.js and Redux, ensuring seamless state management and user interactions.- Utilized Django and Flask frameworks to build and deploy robust backend services, supporting machine learning operations and front-end functionalities.- Developed responsive and accessible web interfaces using HTML, CSS, and JavaScript, ensuring optimal user experience across devices.- Implemented unit tests and integration tests to ensure code quality, reliability, and maintainability of machine learning and front-end components.- Participated in code reviews and provided constructive feedback, fostering a culture of continuous improvement and collaboration within the team.

• Developed responsive and accessible web interfaces using HTML, CSS, and JavaScript, ensuring optimal user experience across devices.• Designed and implemented dynamic web applications using React.js and Redux, integrating state management for seamless data flow and user interactions.• Utilized Bootstrap and CSS frameworks to create responsive designs, improving site usability and visual consistency.• Employed jQuery to enhance front-end functionality and create interactive features, improving user engagement and experience.• Collaborated closely with UI/UX designers and cross-functional teams to translate design concepts into functional code, delivering projects on time and meeting quality standards.

• Applied R and Python programming languages extensively alongside advanced statistical software to conduct sophisticated data analysis on survey responses and social media data at a prestigious research institution in Taiwan. Employed robust data cleaning techniques and advanced statistical modeling tools to extract meaningful insights and actionable trends.• Utilized prominent data analysis libraries in R and Python, such as pandas, numpy, scipy, and scikit-learn, to handle, analyze, and model complex datasets efficiently. • Leveraged matplotlib for Python and Tableau for data visualization, creating compelling visual representations to effectively communicate findings to diverse stakeholders and decision-makers.• Collaborated closely with interdisciplinary teams to implement data-driven solutions and develop predictive models using Python-based frameworks like TensorFlow or PyTorch, translating analytical insights into actionable recommendations for public policy and strategic decision-making across various sectors.

• Collaborated with key US governmental agencies such as the State Department, USAID, and Congress on Asian political topics,employing advanced statistical analysis and quantitative research methodologies to inform policy strategies and engage withdiverse stakeholders effectively.• Demonstrated strong communication skills by presenting research findings and quantitative analysis to policymakers, scholars,and stakeholders in a clear and compelling manner. Fostered relationships with key decision-makers to leverage statisticalinsights and promote informed debate on critical political issues.

• Collected information on Taiwan’s public policies, budgets, and legislation at the national level. • Wrote interpellation documents and related slides for legislators.