Columbia Engineering M.S. in Data Science | Former Federal Reserve Board
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Bayesian-Machine-Learning
Bayesian-Machine-Learning PublicDeriving Variational Inference and Expectation Maximization Algorithms From Scratch
Jupyter Notebook
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Natural-Language-Processing
Natural-Language-Processing PublicCNN, LSTM, GPT and Other NLP Models with PyTorch and Transformers
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Self-Supervised-Wrist-Gait-Characterization
Self-Supervised-Wrist-Gait-Characterization PublicJohnson & Johnson (contract): Signal Processing and Machine Learning for Gait Analysis on Terabytes of Wrist Sensor Data
Jupyter Notebook 1
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Repeat-Sales-Model-using-Distributed-Computing
Repeat-Sales-Model-using-Distributed-Computing PublicFederal Reserve: Forecasting Corporate Bond Returns With a Repeat Sales Model on 72 Distinct Billion-Item Matrices ~ 1TB
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Misc-Columbia-Projects
Misc-Columbia-Projects PublicSpace Optimized Computer Vision, Performance of Deep Learning Systems, Algorithms, Spark/MapReduce, R Bookdown with D3 Interactive
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Machine-Learning
Machine-Learning PublicA Collection of Data Science and Machine Learning Projects Utilizing Scikit-Learn, TensorFlow, and R for Predictive Modeling, Time Series Analysis, and Statistical Methods.
Jupyter Notebook 1
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