I build data systems that solve real business problems.
My tech journey began with data science, but over the years my focus has expanded beyond building machine learning models. Today, I work across the full data lifecycle -designing data pipelines, developing analytics solutions, building machine learning applications, and creating scalable architectures that turn data into business value.
I'm particularly interested in the intersection of Data Engineering, Machine Learning, MLOps, Enterprise Data Architecture, and AI. My goal is simple: build intelligent systems that organizations can trust, scale, and rely on.
Alongside my professional work, I'm building Zilstack - a data solutions company focused on helping organizations unlock the full value of their data through Analytics, Business Intelligence, Machine Learning, and Data Engineering.
I enjoy solving difficult problems, writing about technology, contributing to open-source projects, and continuously learning.
This GitHub is where I document my learning journey and share projects across:
- Data Engineering
- Data Science
- Machine Learning
- MLOps
- Business Intelligence
- Enterprise Data Architecture
- Cloud Data Platforms
- Data Visualization
- AI Applications
Expect practical projects, reusable code, technical articles, and experiments focused on solving real-world business problems.
- Languages: Python, SQL
- Data Engineering: Apache Airflow, ETL & ELT Pipelines, Data Warehousing, Data Modeling, PostgreSQL, MySQL
- Data Science & Machine Learning: Pandas, NumPy, Scikit-learn, TensorFlow, Statistical Analysis, Predictive Modeling
- Analytics & BI: Power BI, Excel, Dashboard Development, KPI Design, Business Analytics
- Cloud: AWS, Microsoft Azure
At the moment I'm focused on:
- Building production-ready data pipelines
- Designing scalable data architectures
- Learning advanced MLOps practices
- Developing cloud-native data platforms
- Publishing technical articles and open-source projects
- Growing Zilstack into a full-stack data solutions company
My long-term ambition is to become a Data Architect, designing enterprise-scale data platforms that enable organizations to make better decisions, deploy AI responsibly, and build intelligent products.
I also want to contribute to the global data community through open-source software, technical writing, research, and mentoring.
I enjoy connecting with people working in Data Engineering, AI, Analytics, and Enterprise Architecture.
Whether it's discussing ideas, collaborating on projects, or sharing knowledge, I'd love to connect.
LinkedIn: https://www.linkedin.com/in/imeetimfon/