Xian Situ

Dedicated and meticulous Data Science student driven by a fascination for extracting meaningful insights from intricate datasets. Proficient in Python and R, with practical expertise in statistical analysis, data visualization, and machine learning methods. Skilled in developing user-friendly applications and collaborating within interdisciplinary teams to solve real-world problems. Eager to leverage analytical skills and academic knowledge to drive impactful solutions in the field of data-driven decision-making.

Fundamental Weekly Planner using Python GUI

• Developed a user-friendly weekly planner application using Python's GUI library.
• Implemented features for adding, editing, and deleting tasks with a graphical interface.
• Enhanced problem-solving skills by addressing user experience challenges and optimizing code efficiency.
• Collaborated with a team of three developers, facilitating effective communication and task delegation to meet milestones.

Analysis of Data Scientists' Salaries Using R 

• Conducted an in-depth analysis of a Kaggle dataset on Data scientists using R programming language.
• Utilized statistical methods to identify trends, patterns, and factors influencing salary variations.
• Create visualization to communicate findings effectively, including salary, and geographical trends.
• Strengthened data manipulation skills with dplyr and data visualization skills with ggplot2.

Analysis of Heart Disease Dataset for Bias and Fairness 

• Investigated bias and fairness in a UCI Heart Disease dataset using Python.
• Applied exploratory data analysis techniques to identify potential biases in the dataset.
• Implemented fairness metrics to access the model's performance across different demographic groups.
• Used data visualization to present findings on fairness disparities in heart disease predictions
• Enhanced understanding of ethics in data science and developed skills in assessing algorithmic biases.

• English
• Mandarin
• Cantonese
• Taishanese