Machine learning (LSTM) for financial risk management and backtesting/strategy optimization using Python
Other
Built and trained machine learning models (including LSTM) using labeled/structured time-series data for financial risk management tasks. Performed data analysis and manipulation with common ML data processing workflows. Used deep learning frameworks to develop and evaluate predictive models based on prepared datasets. • Developed ML/DL pipelines in Python • Worked with time-series modeling using LSTM • Analyzed and prepared financial datasets using NumPy and Pandas • Applied backtesting and strategy optimization for evaluation
Present