Software Engineer • Data Scientist • Creative Technologist
Currently building intelligent investment tools & exploring the magic where data meets design

• Passionate about: intelligent systems, financial algorithms, visual storytelling & tech that feels magical.

• Past Projects:

  • Predicting stock prices using LSTM
  • Building a full-stack JSE trading system
  • Enhancing ML pipelines with sentiment-driven insights
  • Engineering biofilm growth simulations and visual dashboards

• Current Mission:
  Designing smart, ethical, and explainable tools in fintech, while keeping it ✨aesthetic✨

• Fun Facts:

  • I blend code with creativity — think financial forecasting meets data art
  • I believe that good code should work well and look good
  • I enjoy crafting interactive dashboards, generative visuals, and clever ML logic

What it does: Evaluates all stocks on the JSE using:

• LSTM-based stock price prediction
• Sentiment analysis from live news feeds
• Multi-strategy engine (value, momentum, quality, sentiment, combined)
• Real-time portfolio rebalancing
• Beautiful interactive dashboard
• Fully automated trade simulation

Built With:

• Python, FastAPI, SQLite/PostgreSQL, Streamlit, LSTM (TensorFlow), NewsAPI, Matplotlib, Scikit-learn

Why it’s special:

• It doesn’t just recommend stocks — it adapts to the market, learns from news, and tells you when to sell underperforming holdings in favor of better opportunities.
• Designed as a full research-grade dissertation project, with complete testing, backtesting, CI/CD pipeline, and real-market data integration.

Stay tuned! My custom portfolio site byTessa.com is coming soon:

• Sleek design
• Interactive visuals
• Live project previews
• Dev blog: “Ideas I Can’t Unsee”

# my current mindset:
while not inspired:
    learn()
    build()
    rest()
    repeat()