Hi there, my name is Hui Feng.

Hello, my name is hui feng, and I am currently a senior at the university of texas at austin, pursuing a bachelor of science in computer science. As a first-generation college student, I aspire to make a meaningful impact as a female programmer contributing to the world. My passion for computer science was sparked by a youtube video that highlighted the underrepresentation of women in stem fields. This motivated me to pursue a career in technology and break barriers in this field.
During my college journey, I discovered a strong interest in machine learning and data warehousing. I enjoy analyzing data, uncovering insights, and leveraging this knowledge to predict trends or mitigate risks. I believe these skills have the potential to drive impactful decisions in various industries. I am excited to graduate in may and am actively seeking opportunities to expand my expertise in machine learning, software development, and cloud computing. thank you for visiting my website, and I look forward to connecting with you.

Projects

Collectors Anxiety Application

Developed a React-based web application as a digital closet for collectors, enabling users to catalog, organize, and manage their collections conveniently in one place.
Built with HTML, CSS, and JavaScript, with a focus on user-friendly design and tailored features, allowing collectors to easily access, display, and modify their collections in a way that reflects their individual preferences and needs.

Mental Health and Occupations

Implemented Decision Trees, Apriori, and Neural Network algorithms to analyze job conditions and their impact on workers' mental health.
Identified key factors, such as family history of mental health issues, significantly influencing mental well-being in the workplace.

Pintos

Developed an operating system in C using the Pintos framework, implementing key features like process management, file systems, and virtual memory.
Gained hands-on experience in low-level system programming, debugging, and performance optimization, contributing to the system's stability and efficiency.

Video Game Trend

Developed a data warehouse using a STEM dataset to analyze and predict the relationship between trending video games and various attributes, such as genre, user engagement, and ratings.
Leveraged BigQuery, SQL, and dbt (data build tool), with Python for data manipulation and transformation, enabling complex queries and insights into trends and patterns within the video game industry.

Experience

Malice Media

Produced short-form content (1min) by using Davinci targeted at various audiences across major social media platforms (Youtube, TikTok) to enhance brand engagement and retention rates.
Partnered with indie studios to participate in game testing to identify gameplay bugs, glitches and quality of life concerns. Increasing the quality of the game whilst considering the user.

Project SEED Head RA

Supervised three research assistants to coordinate scheduling for surveying, data-gathering, data review, etc.
Maintain open communication with research assistants to provide clear and precise expectations; along with providing any scheduling assistance when needed.