Python developer • Data enthusiast • Automation & AI explorer

I convert challenge-driven learning into practical projects: automation scripts, data analysis notebooks, and AI prototypes that prioritize safety and user privacy. I focus on clean, documented code and reproducible analyses.

• ASOS-Product-Catalog-Analysis - Data Analytics Portfolio Project - https://github.com/KINGAKWO/ASOS-Product-Catalog-Analysis/blob/main/asos_dashboard.py

  • Python, Pandas, Streamlit, Plotly | Analyzed 30K+ product catalog to identify stock patterns, brand performance, and pricing strategies with visual insights and actionable recommendations

• Lewis — Spiritual Companion (BOTS)
  Telegram bot: @BiblicalCounselorBot — a privacy-first AI assistant providing spiritual comfort and pastoral listening with clear safety guardrails.

  • Chat screenshot (uploaded to repo):
    
  • Bot QR / invite card (uploaded to repo):
    
  • Repo: https://github.com/KINGAKWO/BOTS
  • Note: This bot runs on Replit and is a Telegram bot — the public Replit URL cannot be used as a browser demo. Use the QR or telegram handle to try it on Telegram.

• Personal Finance Tracker (Project Bootcamp)
  CLI tool for recording, analyzing, and visualizing income & expenses.

  • Repo: https://github.com/KINGAKWO/python-project-bootcamp/tree/main/Personal_Finance_Tracker

• IBM Data Analytics Journey — Notebooks & Reports
  Reproducible Jupyter notebooks showcasing EDA, visualization, and analysis workflows.

  • Repo: https://github.com/KINGAKWO/ibm-data-analytics-journey

1. Lewis — Spiritual companion (BOTS)

   • Why: Real-world AI assistant with careful safety design and privacy-first approach.
   • Repo: https://github.com/KINGAKWO/BOTS

2. Personal Finance Tracker (Project Bootcamp)

   • Why: Demonstrates automation, persistence, and visualization in a focused CLI app.
   • Repo: https://github.com/KINGAKWO/python-project-bootcamp/tree/main/Personal_Finance_Tracker

3. IBM Data Analytics Journey (Notebooks)

   • Why: Shows end-to-end data analysis, clean notebooks, and reproducible results.
   • Repo: https://github.com/KINGAKWO/ibm-data-analytics-journey

Other noteworthy repos:

• freeCodeCamp Daily Coding Challenges — https://github.com/KINGAKWO/freeCodeCamp_Daily_Challenge
• Python Automation Course — https://github.com/KINGAKWO/python-automation-course
• Learning Python Journey — https://github.com/KINGAKWO/learning-python-journey

• Languages: Python, SQL
• Notebooks: Jupyter / IPython
• Web / APIs: Flask, FastAPI (learning)
• Data: pandas, NumPy, Matplotlib, seaborn
• Tools: Git, VS Code, GitHub Actions, Requests, BeautifulSoup
• AI: OpenAI API (ethics & safety-aware prototyping)

• Code reviews and feedback on testing and deployment
• Partner on beginner-to-intermediate Python projects or data analysis pipelines
• Assist with conceptualizing safe AI assistants (privacy-first)

Open to mentorship, pair-programming, and short-term collaborations. Best contact: LinkedIn or open an issue in the relevant repo.

• LinkedIn: https://www.linkedin.com/in/akwo-makembe-king-108a28252
• GitHub: https://github.com/KINGAKWO
• CodersRank: https://profile.codersrank.io/user/kingakwo

🧩 “Code every day, but build with purpose.” — small, consistent steps toward mastery.