Portfolio

Data Science Projects

Blog Post: Feature Importance

Exploring different feature importance methods including: PCA, Spearman’s Coef, Drop-One Column, Permutation, and SHAP.

Blog Post: K-Means and Other Clustering Methods

Exploring various unsupervised clustering methodologies like K-Means, K-Means++, and Spectral Clustering.

MovieLens Recommendation System

Creating a distributive recommendation system using MongoDB and SparkML to predict movie ratings

Covid-19 Trend Analysis

Using statistical analytics to evaluate Covid-19 Risk Score trend in LA County regions

Client/Partner: LA County Government

Hurricane Intensity Prediction

Building predictive models to predict various characteristics of hurricanes

Geographical Analysis of Cities of China

Building and presenting various geographic analysis solutions for researchers around the world
Client/Partner: Center for Geographic Analysis, Harvard University

Project Management Experiences

Medical Device Development - NuVasive

Developing various medical devices from design to commercialization - FDA 510(k)