Work Library
Transparency, efficacy, and proven work-ethic. My comprehensive academic
and professional repository.
DSGA: 1001 - Introduction to Data Science
(Final Project) An
analysis of collective sense making processes by use of scraped
twitter data. Machine learning is employed preform sentiment analysis,
and discern a relationship between support for BLM protests and voter
turn out in the 2020 US Presidential election. A foundation is
established for examining social change by use of a plug-and-play
process.
DSGA: 1002 - Statistics and Probability for Data Science
- (HW00) Set Theory & Calculus
- (HW01) Probability Space & Sigma Algebra
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(HW02) Parametric & Nonparametric Modeling
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(HW03) MLE & KDE
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(HW04) Bayes' Theorem
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(HW05) Linear MMSE
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(HW06) PCA & Correlation
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(HW07) Estimators & Confidence Intervals
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(HW08) MLE & Bootstrapping
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(HW09) Hypothesis Testing
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(HW10) Resampling & Bayesian Statistics
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(HW11) Linear Models
DSGA: 1014 - Optimization and Computational Linear Algebra for Data
Science
- (HW01) Vector Spaces
- (HW02) Linear Transformations
- (HW03) Rank, Nullity & Image
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(HW04) Inner Products, Bases & Image Compression
- (HW05) Eigenvalues & Eigenvectors
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(HW06) PSD & Page Rank Algorithm
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(HW07) PCA & SVD
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(HW08) Spectral Clustering
- (HW09) Convexity & Hessian Analysis
- (HW10) Least Squares Minimization
- (HW11) Constrained Optimization
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(HW12) Gradient Descent
Water Quality Pilot Study for Traditional Water Structure
Revitalization Potential in the Deccan Plateau of India
We investigate the quality of traditional water structures in the
western Deccan Plateau region of India through use of a generated
water quality index. Using this index, we evaluate potential for use
and revitalization.
(Consilience, The Journal of Sustainable Development.
Columbia University. July, 2020.)
Note:
DSGA → NYU Center for Data Science MS
EN → JHU Engineering Professionals MS
EN.625.661 - Statistical Models and Regression
DSGA: 1003 - Machine Learning