Yunhan Ye

- End-to-End Product Analytics: Led the product development lifecycle with a strong focus on analytics, including conducting A/B testing and competitive analysis. These efforts contributed to a 25% increase in product adoption and a 30% improvement in customer satisfaction. - User Behavior Insights: Collected, cleaned, and analyzed user data using Python, SQL, and Tableau to identify trends that improved ad conversion rates and boosted new user retention by 15%. - Interactive Dashboard Reporting: Designed and managed interactive dashboards tracking key metrics such as Daily Active Users (DAU) and customer satisfaction, enabling data-driven adjustments to product strategy. - Documentation: Developed comprehensive product documentation (BRD, FSD, PRD, User Stories, Use Cases, Test Cases, UML diagrams) to ensure consistent execution and alignment with data-driven objectives.

- Led the strategic planning and implementation of cloud infrastructure projects, overseeing the construction of data centers and the installation of essential hardware facilities to ensure robust platform functionality. - Performance Analytics: Implemented structured project tracking and reporting mechanisms that analyzed key performance indicators (KPIs) to reduce deployment setup time by 20% and project delays by 50%. - Data Coordination: Developed regular analytical reports that improved communication between on-site hardware teams and remote technical groups, ensuring swift identification and resolution of potential issues. - Delivered comprehensive reports to key stakeholders, ensuring continuous quality control and proactive issue resolution. Enhanced stakeholder satisfaction and secured repeat business.

- Advanced Analytical Modeling: Employed R and Python (with Gurobi optimization) to develop personalized dietary plans for diabetic patients, resulting in a 20% reduction in insulin demand. - Biostatistical Analysis: Conducted in-depth analysis on 10,000 microRNA data points to identify potential biomarkers for Alzheimer’s prediction, demonstrating strong analytical expertise in handling large data sets. - Data Visualization: Utilized statistical techniques and visual tools to present complex data in an intuitive format, supporting further enhancements in deep learning models.

- Big Data Analytics: Processed and analyzed over 200,000 data points on consumer preferences, delivering actionable insights that improved market positioning strategies by 15%. - Segmentation Analysis: Conducted detailed segmentation analysis to identify key customer groups and their preferences, enabling targeted marketing strategies that improved customer engagement by 12%. - Predictive Modeling: Developed predictive models using regression model to forecast market trends, providing actionable insights that supported strategic planning and increased forecast accuracy by 15%.

- Cooperate with members in AI for Cybersecurity group to research and uncover potential vulnerabilities of all wide range used deep learning models from Hugging Face. - Scrape all associated model cards and repositories from Hugging Face using a combination of web scraping and the Hub Client API in order to gain complete metadata and source code for every model on Hugging Face. - Doing incremental collections for updated AI models in HuggingFace.

-Processed the raw datasets containing more than 4 million data to be better further analyzed including replacing value for both numerical and categorical data, as well as adding new variables before running the linear regression. -Lead other three team members to run the linear regression model and trained the model using cross-validation method to ensure the minimum mean square error between the predict value and actual number. -Leveraged the function of optimization in R using predict value to find the optical number of how much incentives should be given to property owners.

- Tutored more than 20 students in Business Statistics by interpreting knowledge frameworks critically and assisting review exams effectively by creating review plans combined with the list of key points and diagrams. - Resolved students' daily learning doubts about concepts from lecture and homework questions in time creatively and logically to let student keep pace with the excellent approvals every time. - Acquired the skills of systematically preparing lessons using PowerPoint and improving teaching techniques via the training program provided by HD.

Zhanlu Tea is a commercial organization founded in 2018 with the aim of promoting tea culture and traditional Chinoiserie art to young generations in China. -Negotiated with Minqin tea factory that won the international gold award, and successfully obtained the authorization of procurement with a low wholesale price. -Led a team of 4 to earn around $500 per month and won the Junior Achievement Competition in the Shaanxi division. -Collaborated with Tieyi high school’s art club to design logo and packaging with the inspiration of Chinese traditional culture and received Tieyi high school’s Best Tieyi Culture Award in Art Festival 2019.