Projects
A selection of case studies, academic reviews, open-source libraries, and interactive tools spanning machine learning, mathematical optimization, operations research, and statistical analysis.
xpyrment
- [Python Library] A low-code library for enterprise-grade experiment design, classical DoE, CUPED variance reduction, and advanced statistical analysis.
MLOps Orchestration and Engineering
- [Roadmap & Infrastructure] A comprehensive, hands-on learning roadmap for end-to-end MLOps orchestration using Python-interactive scripts and local mock environments.
Predicting Health Insurance Cost
- [Case Study] Examining the cost of health insurance through multiple linear regression, focusing on predictors and their interaction terms.
Crime and Settlement
- [Case Study] This project offers an interactive map of crime clusters in the City of Chicago with 2010-2020 crime trends.
US Companies Carcinogenic Release: EPA Report 2014-2020
- [Case Study] Interactive map of EPA carcinogenic chemical release (2014-2020) by company and industry sector.
Does the Ear of the Eigenface Hear the Eigensound?
- [Case Study] Application of Principal Component Analysis (PCA) for audio feature extraction and music classification.
Functional Analysis: Fundamental Approaches and Implementation
- [Academic Review] An introduction to two core approaches for processing low-dimensional signal data using functional analysis.
Mathematical Processing of Image Data
- [Academic Review] A review of the mathematical foundations and implementation of various image processing techniques.
Tensor Decomposition
- [Academic Review] An exploration of high-dimensional data decompositions and their practical applications in machine learning.
Introduction to Iterative Optimization
- [Academic Review] An in-depth introduction to first- and second-order optimization methods, complete with Python implementations.