Yu-Han Chang
Performance Analyst
Based in Houston, TX
About
Hello! I am Yu-Han Chang, currently pursuing a Master's degree in Data Science at the University of California, Irvine, with a Bachelor's degree in Mathematics from the University of California, San Diego. I am passionate about uncovering insights from data and using them to inform strategic decisions. With a strong academic background and a keen interest in data analysis, I am eager to contribute to impactful projects and pursue a career as an Analyst.
Skills
Projects
Experience
2022 July - 2023 August
Accounting Analyst at UQI Shipping Logistics
• Led financial data analysis, focusing on the management and reconciliation of financial statements, accounts payable, and receivable, ensuring accuracy and compliance with regulatory standards. • Drove a 25% reduction in financial reporting time by orchestrating data reconciliation and streamlining accounts payable processes, ensuring compliance with stringent financial standards. • Engineered and deployed advanced Excel-based data analysis tools, boosting financial data interpretation speed by 20%, and improving the accuracy of financial forecasts and risk assessments. • Revolutionized credit management systems, slashing bad debt by 20% and bolstering cash flow through strategic credit assessments and rigorous follow-ups.
2024 June - 2024 September
Graduate Research Assistant at Spatial-Temporal Data Science Lab (UC Irvine)
• Preprocessed large spatial datasets using ArcGIS Pro and GeoPandas, integrating Orange County census data with Strava Bicycling App data for advanced spatial analysis. • Developed Poisson regression models to analyze factors influencing bicycle crashes, assessing model performance with metrics including Deviance, AIC, and McFadden’s R-squared (0.32). • Provided actionable insights by predicting crash rates and calculating Incident Rate Ratios, supporting data-driven urban planning and cyclist safety enhancements in Orange County.
2024 September - 2024 December
Data Science Apprenticeship at Children's Hospital of Orange County
- Developed predictive models to assess antibiotic effectiveness using advanced machine learning techniques, optimizing for accuracy and interpretability to support healthcare decision-making. - Collaborated closely with interdisciplinary teams including data scientists, clinicians, and pharmacologists to define model requirements and interpret clinical implications of predictions. - Delivered insights in presentations and reports, providing actionable recommendations to improve antibiotic prescription practices and patient outcomes.
2025 February - Present
Performance Analyst at Nan-Ya Plastic Corp. USA
Extracted, cleaned, and transformed raw data of plant production from AS/400 using SQL, filtering and merging relevant data for analysis, improving accessibility and usability. Developed automated reports and interactive dashboards in Excel (VBA, macros, pivot tables) to track KPIs across sales, production efficiency, backlog, shipping, and profitability trends. Provided insights into inefficiencies and monthly forecasts. Streamlined reporting workflows by automating repetitive tasks and standardizing data processing, significantly reducing manual effort while ensuring accurate and timely forecasting of production output, backlog management, and cost analysis.
Education
Graduated December 2024
Master of Data Science at UC Irvine
Graduated June 2022
BS in Mathematics at UC San Diego