Built and compared a statistical ARIMA model against a deep sequential LSTM network for stock price movement and volatility forecasting.
Logistic Regression on a public Kaggle Twitter dataset using TF-IDF (unigrams + bigrams, 5,000 features).
Content-based recommender trained on game metadata. BERT embeddings generated per game, cosine similarity used for recommendation ranking.