The project involves performing clustering analysis (K-Means, Hierarchical clustering, visualization post PCA) to segregate stocks based on similar characteristics or with minimum correlation. Having a diversified portfolio tends to yield higher returns and face lower risk by tempering potential losses when the market is down.

Python package for visualized nonparametric linkage analysis.

PhD thesis

Creates an OVAS live image from an ArchLinux Iso

The objective of this project is to analyze the customers of a bank, categorize them with K-Means and Hierarchical Clustering and evaluate their distinct characteristics

This repository contains my final project for Mechanical and Aerospace Engineering 162A, Mechanisms and Mechanical Systems, taken with Prof. Jonathan Hopkins, Spring 2021

Differentially Private Linkage Analysis with TDT --- the case of two affected children per family

group project - application of family-based and population-based genetic analyses to both a monogenic disease (Clouston disease) and a complex multifactorial disease (Rheumatoid Arthritis)

Visualizes the linkage between a set of given Wikipedia pages as a graph.

Project involves performing clustering analysis (K-Means, Hierarchical clustering, visualization post PCA) to segregate stocks based on similar characteristics or with minimum correlation. Having a diversified portfolio tends to yield higher returns and faces lower risk by tempering potential losses when the market is down.