I design and build modular data automation systems pipelines that ingest, clean, structure, analyze, and forecast data with minimal human intervention. My foundation is in Mechanical Engineering, which taught me the discipline of systems thinking, how to design frameworks that balance logic, precision, and scalability. Today, I apply that mindset to Data Engineering, Machine Learning, Applied AI, and Automation, building tools and infrastructures that turn raw data into continuous, self-learning intelligence. I don’t just analyze data. I build the systems that make intelligence repeatable, scalable, and automatic.

I’m fluent in Python and SQL, and deeply familiar with the major data and AI libraries that power modern analytics from pandas, numpy, scikit-learn, Prophet, and Streamlit, to automation workflows using APIs and schedulers. My focus is engineering data intelligence systems that operate independently, learn continuously, and serve real-world contexts.

🚀 ADIP (Automated Data Intelligence Platform)

I’m developing a modular engineering framework that automates:

• Data ingestion (APIs, scrapers, batch feeds)
• ETL processing
• Forecasting models
• Analytical summaries and human-readable insights
• Optional dashboards for exploration

ADIP is my long-term foundation for industry-grade data intelligence systems applicable to FinTech, AgriTech, Logistics, and Public Policy analytics.

Languages

• Python
• SQL

Data Engineering & Automation

• FastAPI
• pandas, numpy
• ETL pipelines
• API integration
• Web scraping
• Scheduling: Cron, GitHub Actions, Render
• Uptime Monitoring

Machine Learning & Forecasting

• scikit-learn
• Prophet
• Feature engineering
• Model evaluation

Visualization & Data Apps

• matplotlib, seaborn, plotly
• Streamlit

Software Engineering

• Git & GitHub
• Modular code design
• Environment & dependency management
• Deployment workflows (Render, Streamlit Cloud)

• Data Engineering

• Automated ETL Pipelines

• Machine Learning & Forecasting

• Full-Stack Data Applications

• Applied AI & Automation

• System thinking & Architecture design

• Cloud Architectures (AWS, GCP)

• PyTorch Library

• Containerization (Docker)

• CI/CD for data systems

• MLOps automation

📧 Email: charleskohwo@gmail.com

💼 LinkedIn: www.linkedin.com/in/charles-onokohwomo

🧠 Portfolio: Coming soon through ADIP and related projects