Machine Learning Based Multifactor Investment Strategy

I am looking for a professional to help me design a multifactor investment strategy using machine learning. This strategy will predict stock returns in emerging markets, specifically India. - The project will use Lasso and Neural Networks as the main machine learning models. - The data will come from various sources: historical stock prices, company financial statements, and macroeconomic data. - A critical part of this project will be factor creation from the data. The aim is to build a predictive strategy that can outperform a major index like the Nifty 50. The ideal candidate for this project should have a strong background in finance and machine learning, with experience in working with emerging markets. Knowledge of Lasso and Neural Networks is crucial, as is experience with factor creation and preprocessing of financial data. The factor analysis should include detailed and advanced financial ratios, technical indicators, and macroeconomic variables. The strategy should be backtested over a period of within 1 week. The model should include detailed explanations and transparency in the predictions to ensure high interpretability for decision-making. The project should include a detailed report with explanations and interpretability for decision-making. The detailed report should be delivered as a PDF document and PowerPoint presentation. See attached for specifics