MENG TING CHUNG

Security-focused Data Analyst & Software Developer | Specialized in Malware Detection, Data Mining, and Android Development

Timeline

M.S. in Applied Security and Analytics

University of Findlay, Ohio

Anticipated Dec 2025 | GPA: 3.92/4.0

  • Capstone project: Malware detection using machine learning
  • Key courses: Data Mining (R), Data Visualization (SQL), Secure Coding (C++)
  • Honors: Phi Kappa Phi (Top 10%), Dean's List Spring 2023

B.S. in Information Management

National Taipei University of Business

June 2021 | GPA: 3.60/4.0

  • Key courses: Database Management (SQL), Machine Learning & Deep Learning
  • Award: Moral Education Excellence Award

Research Assistant

University of Findlay

Aug 2023 – Present

  • Performed statistical analyses (ANOVA, Chi-Square, T-tests) on academic datasets
  • Applied ML techniques (clustering, scikit-learn, pandas) to identify peer institutions
  • Developed PowerApp for collecting withdrawn student experiences
  • Visualized data with Power BI and Excel
  • Organized VR setup for 300+ high school students at Career Expo

Android Application Developer

Times Transform Taiwan Co., Ltd.

Feb 2021 – Aug 2022

  • Developed full B2C e-commerce Android platform (Kotlin & Java)
  • Collaborated with UI/UX designers and backend developers
  • Applied Agile (Scrum) practices and code reviews via GitHub
  • Ensured database integrity and queries using SQL

Projects

Malware Detection Using Deep Learning

Binary classification using CNN-LSTM & PyTorch.

Phishing Detection Using LLMs

LangChain + Ollama pipeline for phishing intent classification.

Android E-Commerce App

Full B2C Android app built in Kotlin + REST API backend.

Skills & Tools

Data Analysis & Machine Learning

Python (pandas, NumPy)RSPSSMinitabscikit-learnPyTorch

Dashboarding & Visualization

Power BITableauExcel (Power Query)

Software Development & DevOps

PythonJavaJavaScriptKotlinReactNext.jsFastAPIGitDocker

Large Language Model Toolkits

LangChainOllama

Presentations & Conference Participation

Generative AI & Its Impact on Existing Phishing Detection

Ohio Information Security Conference, Dayton, OH | March 2025

Conducted comparative analysis of supervised learning models on AI-generated phishing emails using LLMs (Mistral) and LangChain to enhance security insights.

CERIAS Annual Security Symposium

Purdue University, West Lafayette, IN | April 2024

Engaged with cybersecurity professionals on trends and emerging technologies in information security.

Information Assurance Forum

University of Findlay, Findlay, OH | September 2023

Participated in sessions focused on information security and assurance practices.

Contact Me

I’m open to opportunities in cybersecurity, data analysis, and software development. Feel free to reach out!