Frederick Osei-Kuffour

The tools, grouped by what they are for.

Listed honestly: a technology is only marked core if I have applied it in production systems I built and run.

Data Analytics

Core is drawn from systems I have built and run in production.

Python
SQL
Pandas
Data Cleaning
Data Validation
Exploratory Data Analysis
Statistical Analysis
scikit-learn

Database Management

MySQL
SQLite
PostgreSQL
Database Design
Data Modelling
Data Quality Assurance
Backup & Recovery

Business Intelligence

Power BI
Power Query
Dashboard Development
KPI Development
Business Reporting
Excel (Advanced)
Google Sheets

Application Development

Python
Flask
FastAPI
Streamlit
JavaScript
SQLite
REST & Server-Sent Events
Next.js
TypeScript

Deployment & Automation

Dokploy
Docker
Docker Compose
VPS Deployment
Workflow Automation
Linux

How to read these levels

core: Core — applied in production systems I have built and run
working: Working — used regularly in delivered work
familiar: Familiar — studied and used with support, not a primary tool