Software Engineer • Data Scientist • Creative Technologist
Currently building intelligent investment tools & exploring the magic where data meets design
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Passionate about: intelligent systems, financial algorithms, visual storytelling & tech that feels magical.
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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
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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()