Seoul National University Big Data Institute 4th Industrial Revolution AcademyBusiness Analytics Course Portfolio (2017.06 ~ 2018.02)

Introduction to the Education Program See more

Representative Analytical Projects

Capstone Project (Data Analysis in Corporate Setting)

* KB Life Insurance: Designing Customized Management Approaches for FC Channel Efficiency Enhancement (Business Insights, Clustering)

• Acquiring insurance domain knowledge through interviews with key sales channel managers (FC, GA, TA)
• Variable creation from settlement management data for constructing analysis tables
• Selecting significant variables (indicators) through regression analysis and performing clustering based on them (using R)
• Sharing analysis results with operational practitioners and proposing management approaches tailored to each cluster's characteristics

Data Mining

* Clustering Subgroups of National Assembly Members based on Co-sponsored and Individual Bill Proposals (Unsupervised Learning, Clustering)

• Preprocessing to transform given bill proposal data (individual sponsorship, co-sponsorship, co-sponsor names, party affiliation of each member (anonymous)) into "distance data" between members
• Clustering using k-means and hierarchical clustering algorithms (unsupervised learning)
• Adjusting and refining parameters based on comparison with the 2016 political situation

EDA Visualization

* Text Mining of PB & NB Snack Products in the Domestic Market (Correlation Coefficient, Frequency Analysis, Marketing)

• Crawling blog posts within Naver Open API service
• Text data preprocessing using R packages (tm, KoNLP)
• Identifying correlations among key keywords within the snack products using Graphical Lasso algorithm

DB Marketing

* RFM exercise (Performance Comparison of Machine Learning Techniques, Variable Selection)

• Analyzing customer purchase data including Recency, Frequency, and Monetary variables / Predicting the likelihood of inducing purchases upon issuing coupons