Chung-Kai Chou

• Conducting research on data-driven privacy protection techniques at the word embedding stage to safeguard Protected Health Information (PHI) in Large Language Models (LLMs).
• Exploring non-machine learning approaches for enhancing AI safety in the context of privacy applications within LLMs.

• Transform raw data of over 53,000 ischemic stroke patients from medical records into insight and apply Natural Language Processing (NLP) and Large Language Models (LLMs) to stroke health outcomes research at the Radiology Research
• Leveraged Microsoft SQL from relational databases to extract over 41,000 rows of data for further analysis, utilizing the Sunrise system to streamline data management and improve workflow efficiency

• Identify trends and insights, make reports, and enhance the service programming by using Excel to analyze over 22,000 rows of alumni data
• Utilized data import processes from Excel and Google sheet to Salesforce to enhance evaluation processes, ensuring efcient data management and engagement strategies
• Conducted survey reports from Qualtrics with Tableau to analyze sentiment among 1300 students and got 98.76% positive feedback from the insight

• Automated inventory sales tracking process with IT business analysis, resulting in the saving of two staff roles and work time by 50%
• Built systems using Python, Excel, and SQL in a project to enhance operational efficiency with troubleshooting

• Managed commissions, budgets, and contracts for 12 brokers and 8 agencies, leading to a 2% growth in sales channels and $830K in additional premium income

• Analyzed sales data for 200 salesmen with SQL and Excel to revise commission structures, reducing total loss ratio by 5% and generating $30K in extra premium income

• Applied PowerBI dashboards to visualize annual reports, supporting executive decision-making

• Contributed to a fraud detection project, preventing a potential $20K loss