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π I developed my first language model for event driven trading in 2020 (The repo is pinned to my profile)
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π Sr Data Scientist @ OppFi
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π AI Instructor @ ASU
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π± Focused Learning on Deep Learning applications in financial realm
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π± Learning RUST programming language to prep. for Web 3.0
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β‘ Challenging intellectual capabilities is essential as working out!
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π§° Data Science Developed Toolbox:
Credit Risk Feature Profilling Data Science tool
If these links dont work, please revert to my HuggingFace Spaces
Pinned Loading
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SentimentAnalysis
SentimentAnalysis Public templateSenitment Analysis using several data sources
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Language-Models-Research
Language-Models-Research PublicByte-level language model for event driven trading using UTF-8 encoding of financial news headlines for pre-training an LSTM architecture for transfer learning for classification tasks.
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Fintech-machine-learning
Fintech-machine-learning PublicMy Financial Industry ML Applications and Credit Risk models for my final project in the Financial Engineering masters program.
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Stock-Returns-Predictions
Stock-Returns-Predictions PublicPredicting stock return in a new approach that still needs better feature engineering and econometric concepts to improve accuracy measures.
Jupyter Notebook 1
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Index_Rebalancing
Index_Rebalancing PublicAn optimization implementation for rebalancing an index constitute assets weights
Jupyter Notebook 4
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Forecasting-techniques
Forecasting-techniques PublicMy repo for applying statistical learning and predictive modeling on different identification problems and data sets.
Jupyter Notebook 2
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