Predictive AI Model Training
In this ongoing project, I collected and processed large-scale time-series data from multiple cryptocurrency exchanges (e.g., price, volume, order book). Performed data cleaning, labeling of price movement patterns (up/down/trend classification), anomaly detection, and validation for training predictive models (hybrid CNN-LSTM). Ensured high accuracy through manual checks and quality control on thousands of data points to improve short-term forecasting performance.