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Welcome to my corner of the internet! I’m a developer and data professional based in NYC, passionate about harnessing technology to solve complex challenges—especially in the realms of cybersecurity and data analytics. Over the years, I’ve collaborated with global financial institutions, transforming business requirements into efficient data models, analytical insights, and automation solutions that streamline workflows and mitigate risk.
About Me
I thrive on building scalable data pipelines and performing deep analytics to uncover actionable insights. My experiences range from implementing risk management strategies to architecting resilient data infrastructure. I’ve been fortunate to work with industry-leading organizations such as BNY Mellon, HSBC, and JPMorgan Chase, where I championed:
- Automated Cybersecurity Monitoring to bolster continuous control environments, ensuring robust protective measures.
- Data ETL & Pipeline Development with tools like Hadoop, Spark, and Hive—supercharging analytics efficiency.
- Machine Learning & Predictive Analytics for early detection of account risks and enhanced customer engagement.
- Streamlined Reporting using Python, REST APIs, and cloud services, cutting down data processing times and reducing errors.
I’m also a lifelong learner, immersed in the world of blockchain, decentralized finance (DeFi), and digital transformation. Whether it’s Python, Bash scripting, or the latest in big data technologies, I’m always eager to experiment and push the boundaries of what’s possible.
Technical Highlights
- Languages: Python, Java, Bash, JavaScript, SQL
- Big Data & Cloud: Hadoop, Spark, Hive, Cassandra, DigitalOcean
- Security & OS: Linux (Ubuntu/Red Hat/Kali), macOS, Windows, Powershell
- Other Tools: Jupyter Notebook, Git, APIs, Docker, Alteryx
I’m fluent in English and Chinese (Cantonese & Mandarin) and enjoy mentoring future technologists.
Projects & Initiatives
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Cyber Risk Consequence Model
Drove the design of an automated system for vulnerability monitoring, integrating Python scripts with enterprise APIs to reduce manual overhead and strengthen security posture. -
Employee Attrition Pipeline
Engineered an ETL approach to highlight real-time employee attrition signals. This included analyzing structured data via Spark and Hive and visualizing crucial trends to guide retention strategies. -
Automated BAU Processes
Leveraged Selenium and Win32 APIs to eliminate repetitive tasks in financial processes, boosting overall productivity.
Education & Community
I hold a Bachelor of Technology in Computer Systems Technology from the New York City College of Technology. Outside of work, you’ll find me engaging with local tech meetups, volunteering for youth mentorship programs, or participating in communities for leadership development. I truly believe in giving back and fostering the next generation of innovators.
Let’s Connect
Feel free to connect with me on LinkedIn for professional connections, or keep an eye on my posts over on X where I share my thoughts.
You can also reach me via email. I’m always open to collaborating on exciting new projects, discussing data-centric solutions, or simply chatting about emerging technologies.