CHRISTOPHER BENJAMIN

Computer science learner since 2021 with a strong motivation for continuous education. Developed multiple projects using various programming languages and IDEs. Committed to ongoing skill and knowledge development in software engineering.

S&P 500 Predictor (In Progress): https://github.com/Christopher-Benjamin/stockpreds 

• Built an end-to-end S&P 500 directional predictor in Python using pandas, scikit-learn, and yfinance, generating a next-day “up/down” target from historical OHLCV data.
• Engineered multi-horizon technical features (2, 5, 60, 250, 1000 days), including close/rolling-mean ratios and rolling trend sums, to capture short and long term momentum.

Text Generator: https://github.com/Christopher-Benjamin/textgen

• Developed a character-level text generator in Python using TensorFlow/Keras, trained on the Shakespeare corpus to learn stylistic text patterns.
• Designed and trained an LSTM-based neural network, tuning hyperparameters with RMSprop optimization and early stopping to improve convergence.