Junho Eum Data Science Projects

Welcome to my data science portfolio! As a highly motivated Master's student in data science at Boston University and a holder of a bachelor's degree in Business Technology, I am passionate about exploring data to find new insights and building models that could make better predictions. I am currently seeking a position as a research assistant in data science where I can apply my skills to solve challenging problems and contribute to innovative research projects. Please explore my portfolio and feel free to contact me if you are interested in discussing potential opportunities for collaboration.

Analyzing Baseball Statistics Across Cultures: A Study of the KBO

This study explores the unique playing style of the Korean Baseball League (KBO) influenced by both the Japanese and American baseball cultures. The study tests the Pythagorean Expectation statistic used in Major League Baseball for predicting the expected win rate on KBO teams using multi polynomial regression. The study aims to find the best model to predict the win_loss_percentage and compare its accuracy with the Pythagorean Expectation model.

Heap-Based Document Clustering

The paper proposes an approach to document clustering that uses TF-IDF and cosine similarity with heap data structures for performance optimization. The algorithm aims to guide individuals in organizing documents and grouping them based on their content. Clustering can be useful in various areas, but it can be time-consuming for individuals, making this approach beneficial for companies and organizations.

Face Mask Detection

Project focuses on using a neural network to classify images of human faces into two categories: with and without masks. The model also has the ability to identify cases where masks have been worn incorrectly. By training the neural network on a large dataset of labeled images, the aim is to develop an accurate and reliable system for face mask detection. This technology has important implications for public health and safety, particularly during the COVID-19 pandemic, where mask-wearing is a critical preventative measure.

Dental Office Location Finder

My project involves finding the optimal location for a dental clinic. I understand that location plays a critical role in acquiring regular customers. To determine the perfect location, I have taken into account various factors, including population demographics and the presence of competitor dental clinics in the area. Using this information, I have developed a predictive model that can estimate the potential profit for a specific location.

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