NARIN PARK

Recent graduate with a strong background in statistics and proficiency in multiple programming languages. Applied theoretical knowledge through academic projects and internships, acquiring hands-on experience in data analysis and problem-solving. Recognized for exceptional teamwork, problem-solving, and time-management skills. Ready to begin a career journey with unwavering commitment and drive to make substantial contributions.

• Visitor Management and Temperature Check at Changwon History and Folklore Museum (Dec 2021 - Feb 2022) : Assisted with local safety measures during the COVID-19 pandemic

• FSI Data Challenge 2023 Finalist (Jun -Aug 2023) : Analyzed card transaction and insurance claim data to understand consumer spending patterns. Analyzed card transaction and insurance claim data to understand consumer spending patterns.
• LG Aimers Program 3rd Cohort (Jul-Aug 2023) : Completed comprehensive Machine Learning and Deep Learning courses. Participated in a hackathon to develop an AI model predicting product sales for an online store over a 3-week period using daily data.

In-class projects

• Netflix New Ads Plan User Response Analysis (Oct - Dec 2022) : Applied Latent Class Analysis (LCA) in Mixture Model course at SKKU
• USD to KRW Exchange Rate Forecasting (May 2022) : Utilized ARIMA+GARCH model in Advanced Time Series Analysis course at SKKU
• Race and Police Brutality Relationship Study (Dec 2020): Conducted for Analysis of Categorical Data course at CNU
• Diabetes Factor Analysis (Jun 2020) : Completed for Biostatistics course at CNU
• Seattle Rain Accumulation Forecasting (Nov 2019) : Employed ARIMA model in Time Series Analysis course at MSU

SAS 9.4 Base Programming - Performance-Based Exam