Pantsais Yang

Data-driven Insights Analyst with a strong foundation in finance, operations, and data analytics. Skilled in transforming complex data into clear, actionable insights that drive strategic business decisions. Experience with Oracle, SAP, and Excel, and familiar with Power BI. Background includes building dashboards, performing advanced forecasting, and managing cross-functional projects. Recent MBA graduate with a certificate in Business Analytics, bringing technical expertise and a collaborative approach to fast-paced environments.

Strategic Leadership and Change Management Analysis University of Wisconsin - Milwaukee | EMBA Managing in a Dynamic Environment – Fall 2024

• Analyzed how leading companies such as Amazon, Apple, Google, Uber, and Airbnb adapt to disruptive market forces.
• Studied and presented cases from Harvard Business Review on organizational change and influence strategies.
• Explored leadership models and responses to industry disruption through the lens of real-world examples and The Social Dilemma documentary.
• Applied change management concepts to design strategic recommendations for companies navigating rapid change.
• Strengthened communication, business analysis, and critical thinking skills in a leadership-focused context.

Predictive Analytics Modeling Project University of Wisconsin - Milwaukee | BUSMGMT 709 – Spring 2024

• Conducted an end-to-end predictive modeling project using JMP software, focused on regression and classification analysis.
• Collected and cleaned real-world data to develop models using linear regression, regression trees, and logistic regression techniques.
• Performed model selection and diagnostics using metrics such as adjusted R², AIC, and cross-validation to assess model performance.
• Gained applied experience with time-series modeling, indicator variables, and interaction effects with in a regression framework.
• Developed skills in statistical thinking, model interpretation, and the communication of data-driven insights for managerial decision-making.

Web Mining and Analytics: Web Scraping & Data Extraction Project University of Wisconsin - Milwaukee | BUS ADM 741 

• Spring/Fall 2023 - Developed a multi-line web scraper using Python (BeautifulSoup) to extract structured data from a live website and store it in CSV format.
• Applied knowledge of HTML structure, XPath, and data automation to collect and organize relevant information.
• Completed as part of a 3-credit Web Mining course focused on Python, SQL for data retrieval, and web data mining techniques.
• Gained hands-on experience with web scraping, data pipelines, and working with unstructured data for analysis.
• Project aligned with course objectives to apply real-world data mining tools and techniques in a reproducible, well-documented format.