Developed a Python framework with Pandas and NumPy, processing 10,000+ transactions monthly, cutting data processing time by 40% and boosting efficiency by 15%
Led the transition of data infrastructure to AWS, integrating AWS RDS for database management and AWS S3 for storage, improving data access by 20% and reducing costs by 15%
Designed a Power BI dashboard for customer engagement metrics, boosting retention rates by 10%
Data Analyst Intern
Suzhou Yijiuhao Intelligent Technology Co., Ltd.
04.2023 - 08.2023
Sourced news data via API, applied NLP for feature extraction, and developed an ARIMA model for stock price forecasting with Python, improving prediction accuracy by 15%
Performed time-series analysis to identify long-term stock price trends, visualised outcomes with Tableau, resulting in a 20% improvement in trend prediction accuracy
Created an NLP solution with Python and NLTK to automate metadata extraction from machine learning models, increasing look-up efficiency by 80%