Shaohan Yang

l Worked in a 4 - member team led by Prof. Liu at HKUST. Developed a Python - based model for predicting bank customer churn.

l Independently tested over 10 machine - learning algorithms like Logistic Regression, Decision Trees, and Random Forests. Improved prediction accuracy by 20% through parameter tuning.

l Helped publish a research paper on this project in SciTePress, proving the model's effectiveness.

• As part of the team, engaged in experiments on deep - sea terpenoids. Undertook tasks including constructing plasmids, using PCR to verify transformers post - plate coating and sequencing. Successfully converted BL21 after accurate sequencing results were obtained.
• Leveraged experimental findings to assist in creating relevant web pages. This comprehensive effort led our team to win the silver prize in the competition.

• Supported engaging, fun, and smooth-running events by helping with organization and planning.
• Maintained clean, neat, and operational facilities to serve program needs.
• Assisted with special events and programs.
• Used strong interpersonal communication skills to convey information to others.