Columbia Engineering M.S. in Data Science | Former Federal Reserve Board
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Bayesian-Machine-Learning
Bayesian-Machine-Learning PublicDeriving expectation maximization and variational inference algorithms from scratch.
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Natural-Language-Processing
Natural-Language-Processing PublicCNN, LSTM, GPT and other NLP models with PyTorch and Transformers
Jupyter Notebook 1
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Space-Optimized-Computer-Vision
Space-Optimized-Computer-Vision PublicA space optimized CNN developed through synchronous distributed training, weight pruning, and quantization in Vertex AI on GCP
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Repeat-Sales-Model-using-Distributed-Computing
Repeat-Sales-Model-using-Distributed-Computing PublicForecasting corporate bond returns with a repeat sales model on 72 distinct billion item matrices ~ 1TB.
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Machine-Learning
Machine-Learning PublicMachine Learning in Scikit-Learn and TensorFlow
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Misc-Columbia-Projects
Misc-Columbia-Projects PublicSome projects from my Columbia University data science engineering program
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