Ph.D. Candidate (박사과정)  ·  Data Analyst

Jinyoung Oh 오진영

Dept. of Library & Information Science, Yonsei University · Samsung Securities

Ph.D. candidate in the Department of Library and Information Science at Yonsei University, and a Data Analyst at Samsung Securities.

Portrait of Jinyoung Oh

About

Biography

I am a Ph.D. candidate in the Department of Library and Information Science at Yonsei University, based in the department's DataLab, and a researcher at the university's Center for Science and Technology Studies. Alongside my doctoral studies, I work as a Data Analyst at Samsung Securities, where I have spent close to a decade building and operating enterprise BI systems, data portals, and dashboards for one of Korea's leading securities firms.

My research interests include the science of science, where I use bibliometric and network methods to study how scholarly communication and collaboration evolve. I am also interested in health informatics, applying data science and NLP methods to health-related text and social media data. In 2025, I was invited to guest-lecture Yonsei graduate students on academic data visualization using KCI data and Tableau, as part of the university's BK21 program.

Before my current role, I worked as a Relationship Manager in Samsung Securities' corporate banking division, supporting bond and private equity distribution and IPO due diligence. I hold an M.Eng. in Big Data Convergence from Korea University and a B.A. in English Language and Literature / Business Administration, also from Korea University, and was an exchange student at Binghamton University, State University of New York.

Curriculum Vitae

Education & Experience

Education

  1. Sep 2024 — Present

    Ph.D. Candidate, Library and Information Science

    Yonsei University (Sinchon) · Graduate School · DataLab

  2. Mar 2021 — Aug 2023

    M.Eng., Big Data Convergence

    Korea University (Anam) · Graduate School of SW·AI Convergence

  3. Mar 2012 — Feb 2017

    B.A., English Language and Literature / Business Administration

    Korea University (Anam)

  4. Sep 2014 — Dec 2014

    Exchange Student, English Language and Literature

    Binghamton University, State University of New York

  5. Mar 2009 — Feb 2012

    Japanese Language Major

    Gwacheon Foreign Language High School

Professional Experience

  1. Dec 2025 — Present

    Data Analyst

    Samsung Securities · Digital HNW Strategy Team

    • Manage call center data and analyze consultation trends, developing dashboards for call volume by time period and topic.
    • Apply text mining and speech-to-text (STT) analytics to analyze sales performance across financial products.
  2. Nov 2019 — Dec 2025

    Data Analyst

    Samsung Securities · Data Analytics Team

    • Operated and taught the Business Intelligence (BI) Portal (2020–2025), managing DW/OLAP metrics and data dictionaries, and leading two major MicroStrategy version upgrades (2019, 2024).
    • Led the Data Portal build project (Aug–Dec 2025), integrating business and IT metadata search and defining requirements for data lifecycle management.
    • Built cross-functional dashboards spanning bond trading, credit/loan collateral, mobile app performance, PB trading references, and real-time call response monitoring.
    • Authored data analysis reports on post-COVID customer behavior, IPO customer targeting, corporate client segmentation, and millennial investment behavior, informing marketing strategy and a partnership with a micro-investment app.
  3. Jan 2017 — Nov 2019

    Relationship Manager

    Samsung Securities · Samsungtown Corporate Branch

    • Supported sales and distribution of financial products including bonds and private equity, and C-level client engagement in investment banking.
    • Contributed to IPO valuation and due diligence processes for corporate clients.
  4. Feb 2015 — Aug 2015

    HR Intern

    DBS Bank

    • Assisted with intern recruitment coordination, migrated five years of learning history records into the Learning Management System, and prepared monthly payroll data.

Teaching Experience

  1. Aug 2025

    Guest Lecturer

    Yonsei University

    • Tutorial: "Academic Data Visualization Using KCI Data and Tableau" — BK21 Graduate School Innovation Program, Department of Library and Information Science.

Download Full CV (PDF)

Research

Research Interests

Science of Science

Studying research itself through bibliometric and network methods — how scholarly communication, citation patterns, and collaboration structures evolve across fields.

Health Informatics

Applying data science and NLP methods to health-related text and social media data to support risk detection and public health research.

Data Analytics & Machine Learning

Applying data analytics and machine learning methods to large-scale bibliographic and organizational data.

Projects

Course Projects

Selected research projects from Ph.D. coursework.

Reference Diversity and Journal Concentration in Changing Scholarly Discovery Environments

A cross-disciplinary OpenAlex analysis (CS, biomedical, social science, humanities) examining how algorithmic and generative-AI search tools have reshaped reference diversity (Shannon entropy) and journal citation network centrality across three eras of scholarly discovery, 2012–2025.

  • OpenAlex
  • Network Centrality
  • Shannon Entropy
  • Cross-Disciplinary Comparison

Identifying High-Risk Suicidal Users on Reddit via Emotional Structure and Sociality Indices

Analyzed 266K posts and 849K comments from Reddit mental-health communities using a fine-tuned RoBERTa emotion model (28-class GoEmotions) to construct novel emotional-structure indices (diversity, leading gap, polarity, bipolarity) alongside a sociality index, then applied clustering and explainable AI to identify high-risk users.

  • NLP
  • RoBERTa / GoEmotions
  • Clustering
  • Explainable AI

Mapping the Rise of AI in Finance: A Bibliometric and Network Analysis

Analyzed close to 9,900 AI-in-finance papers from OpenAlex (2015–2024) to trace topical trends, interdisciplinarity (Shannon Diversity Index), and university–industry collaboration networks using centrality analysis.

  • OpenAlex
  • Bibliometrics
  • Network Centrality
  • Shannon Diversity Index

Does HR Investment Improve Public Library Performance? A Korea–U.S. Comparison

Built a five-year cross-national panel from Korea's national library statistics and the U.S. IMLS Public Libraries Survey (~29,000 library-years) to test, via mediation analysis, whether HR investment improves service outcomes through librarian workforce structure.

  • Panel Data
  • Mediation Analysis
  • Cross-National Comparison

Publications

Selected Publications

No publications yet — new work will be listed here as it becomes available.

Certifications

Certifications & Licenses

Contact

Get in Touch