Machine Learning Data Science

Pi Chen Chen

973-***-**** *************@*****.***

Jersey City, NJ linkedin.com/in/pi-chen-chen

Education

• New Jersey Institute of Technology

Master of Science in Data Science 2023–2024

Relevant Courses: Machine Learning, Data Analytics, Applied Statistics, Database Management

• Chia Nan University of Pharmacy and Science Tainan, Taiwan Bachelor’s Degree in Chemistry 1993–1997

Skills

• Programming Languages: Python, R, Java, HTML/CSS

• Databases: Oracle PL/SQL, NoSQL, Postgres SQL, MySQL, MongoDB

• Tools: Power BI, Tableau, RapidMiner, Microsoft Office, Django, Visual Studio

• Languages: Fluent in Mandarin and English

Experience

Associate Engineer

Taiwan Semiconductor Manufacturing Company (TSMC)

June 1997 – January 2020

• Procedure & SOP Development: Created and updated production process flows, integrating them into company systems. Developed Standard Operating Procedures (SOPs) for engineers and office staff.

• Data & Database Management: Cleaned and analyzed production data to ensure accuracy and efficiency, while maintaining the company’s process flow database. Integrated Extract Transform Load (ETL) processes to streamline data transformation and integration efforts.

• Team Leadership & Training: Led optimization projects, trained new engineers and assistant operators, and coordinated cross-functional team efforts. Collaborated effectively in team environments, highlighting data science as a team sport.

• Professional Development: Attended annual workshops on cutting-edge semiconductor technologies. Communicated complex ideas clearly and took initiative in solving real world problems. Projects

• Bank Database Development & ETL Integration (Oracle SQL Developer): Designed and implemented ER/EER schema for optimized banking operations, created relational database schemas, and developed ETL pipelines to manage and integrate data efficiently.

• Online Payment Fraud Detection (RapidMiner):

Developed a machine learning classification model to detect fraudulent transactions, achieving a 95% accuracy rate.

• Brain Tumor Classification (Python):

Built a CNN-based model for automatic brain tumor classification from MRI scans, achieving 81% precision in detecting tumor types.

• Breast Cancer Detection (Python, VGG16):

Applied transfer learning with VGG16 to detect Invasive Ductal Carcinoma (IDC) in histopathology images, achieving a 91% accuracy rate.

Certifications

• Google Data Analytics Certificate 2023

Gained hands-on experience in data cleaning, analysis, and visualization.

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