Detail-oriented data analyst skilled in data visualization and statistical modeling. Successfully developed AI-assisted solutions for efficient data processing, achieving high recall rates in anomaly detection.
Overview
1
1
year of professional experience
Work History
Data Analyst Intern
Wuxi Hangzheng
Wuxi, Jiangsu, China
07.2026 - 08.2026
Trained a Random Forest model anomaly-detection model and addressed class imbalance using techniques such as SMOTE and class weighting, achieving approximately 98.7% recall.
Developed AI-assisted system for automated water-level pattern labeling, streamlining data-processing workflow.
Processed 4.93 million water-level records from 386 monitoring stations to enhance data labeling accuracy.
Analyzed water-level monitoring data from Xinwu District City Lifeline to identify trends and inform decision-making.
Data Analytics Intern
University of California, Riverside
Riverdale, California
01.2026 - 03.2026
Created data visualizations and dashboards to effectively communicate analytical findings for decision-making..
Analyzed real-world datasets using Excel to identify trends, informing strategic data-driven recommendations.
Applied GEN AI tools to enhance data analysis problem solving and streamline real-world project workflows.