성우 노

As a Python Tutor, I educated over 10 beginners in Python programming, developing a curriculum and leading Q&A sessions to enhance their understanding and intuition for data analysis.

As a Tech Intern, I leveraged R programming to preprocess and analyze geographic data, visualizing stratigraphic data and ground subsidence levels. I prepared concise reports summarizing analysis results to provide insights for a critical restoration project in Gyeongju national park.

Led a team of volunteers to assist elderly residents, enhancing collaboration skills and providing compassionate care during mealtime activities.

Analyzed Covid-19 data using Microsoft Azure and Power BI to identify effective policies. Extracted and transformed data for analysis.

Collaborated on a municipal waste analysis project across 23 OECD countries, utilizing Python for data cleaning and statistical analysis. Created visualizations and presented findings to stakeholders.

Led a team to analyze the impact of ShotSpotter on gentrification in Cambridge, coordinating project efforts, delivering presentations, and developing visualizations using Plotly. Conducted correlation analysis and authored a comprehensive report with actionable insights.

Conducted analysis to predict customer churn in the banking industry using machine learning techniques. Built a Deep Neural Network model and documented methodologies and findings.

Grade: 3.69/4.00

Activities and societies: BU Data Science Association, BU Business & Technology, PMready, BU Korean Football Club

Pursuing a B.S. in Data Science with a Minor in Business Administration. Major GPA of 3.69/4.00, recognized on the Dean’s List for five consecutive semesters. Engaged in various activities including the BU Data Science Association and BU Business & Technology.