Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Haoyang Hong. I’m a cybersecurity data analyst and data engineer who enjoys turning complex data into actionable insights and secure, scalable solutions. I’m passionate about building ML-driven threat detection, robust data pipelines, and cross-functional collaboration to drive better decisions. I thrive in fast-paced environments where experimentation and automation can reduce manual toil and improve security and data quality. I’m always eager to learn new tools and apply best practices to real-world problems.…Hi, I’m Haoyang Hong. I’m a cybersecurity data analyst and data engineer who enjoys turning complex data into actionable insights and secure, scalable solutions. I’m passionate about building ML-driven threat detection, robust data pipelines, and cross-functional collaboration to drive better decisions. I thrive in fast-paced environments where experimentation and automation can reduce manual toil and improve security and data quality. I’m always eager to learn new tools and apply best practices to real-world problems.

Haoyang Hong

Web Developer, Programmer, Developer, +2





Hi, I’m Haoyang Hong. I’m a cybersecurity data analyst and data engineer who enjoys turning complex data into actionable insights and secure, scalable solutions. I’m passionate about building ML-driven threat detection, robust data pipelines, and cross-functional collaboration to drive better decisions. I thrive in fast-paced environments where experimentation and automation can reduce manual toil and improve security and data quality. I’m always eager to learn new tools and apply best practices to real-world problems.…Hi, I’m Haoyang Hong. I’m a cybersecurity data analyst and data engineer who enjoys turning complex data into actionable insights and secure, scalable solutions. I’m passionate about building ML-driven threat detection, robust data pipelines, and cross-functional collaboration to drive better decisions. I thrive in fast-paced environments where experimentation and automation can reduce manual toil and improve security and data quality. I’m always eager to learn new tools and apply best practices to real-world problems.

Available to hire

Hi, I’m Haoyang Hong. I’m a cybersecurity data analyst and data engineer who enjoys turning complex data into actionable insights and secure, scalable solutions. I’m passionate about building ML-driven threat detection, robust data pipelines, and cross-functional collaboration to drive better decisions.

I thrive in fast-paced environments where experimentation and automation can reduce manual toil and improve security and data quality. I’m always eager to learn new tools and apply best practices to real-world problems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Work Experience

Cybersecurity Data Analyst Intern at EzSec Inc

April 1, 2024 - September 25, 2025

Developed a Python-based machine learning framework for Threat Detection Platform, automating cybersecurity threat analysis, integrating MITRE ATT&CK techniques to classify, prioritize, and mitigate alerts, expanding detection coverage with 200+ custom mappings. Automated data scraping and preprocessing using Python (YARA/YAML/HTML to CSV) with Pandas & BeautifulSoup, improving data pipeline efficiency by 40%. Enhanced NLP model accuracy by 15% through integrating STIX Attack Patterns into training datasets.

Data Engineer Intern at Greenware Service

April 1, 2022 - September 25, 2025

Built scalable ETL pipelines to consolidate real estate data from 10+ sources (APIs, CSV, web scraping) into a centralized PostgreSQL database, reducing data integration time by 25% and improving cross-team data accessibility. Engineered Python-based data-driven tools using NumPy and Scikit-learn to automate property price estimation, enhancing client decision-making accuracy by 15% and reducing manual analysis efforts.