Portfolio
Featured Projects
Feedforward Neural Network - Tutorial
This project aimed to clarify the concept of feedforward neural networks from a mathematical and programming perspective. It utlizes notation derived from experience learning about multiple linear regression to explain the concept in a simplified form utlizing matrices.
Kernel Density Estimation (KDE) - Computational Statistics, JHU
The final project for the Computational Statistics course at JHU in Spring ‘20. The topic is to give deeper details and explore examples of Kernel Density Estimation (KDE).
San Francisco Fire Department Response Time and Priority Level Prediction - Stat Data Technologies, UCD
The final project for the Stat Data Technologies (STA 141B) course, utilizing data science pipelines, and various regression models.
Latest Projects
Creating Data Science Web Apps - Data Science, App Development
A brief guide on creating a web app for a data science project.
Kernel Density Estimation (KDE) - Computational Statistics, JHU
The final project for the Computational Statistics course at JHU in Spring ‘20. The topic is to give deeper details and explore examples of Kernel Density Estimation (KDE).
COVID-19 Analysis using Data Visualization - Data Visualization, JHU
The final project for the Data Visualization (EN.605.662.82.SP20) course, utilizing data visualization methods to analyze COVID-19.
Feedforward Neural Network - Tutorial
This project aimed to clarify the concept of feedforward neural networks from a mathematical and programming perspective. It utlizes notation derived from experience learning about multiple linear regression to explain the concept in a simplified form utlizing matrices.
China Gapminder Data Analysis - Statistical Methods, Data Analysis, JHU
The final project for the Statistical Methods, Data Analysis (EN.625.603.85.FA19) course, utilizing data analysis methods to analyze China’s Gapminder data.
Nutrition Analysis - Multivariate Data Analysis, UCD
The final project for the Multivariate Data Analysis (STA 135) course, utilizing principal component analysis (PCA) and linear discriminant analysis (LDA).
Time Series Analysis of Annual Temperature Anomalies - Applied Time Series Analysis, UCD
The final project for the Applied Time Series Analysis (STA 137) course, utilizing ARIMA models, ACF and PACF plots, and spectral analysis.
USA Spending Data Analytics for Business Owners - Adv. Stat Computing, UCD
The final group project for the Adv. Stat Computing (STA 141C) course, utilizing big data.
Low Birthweight and Heart Disease Prediction Analytics - Analysis of Categorical Data, UCD
The final project for the Analysis of Categorical Data (STA 138) course, utilizing logistic regression and Poisson regression.
San Francisco Fire Department Response Time and Priority Level Prediction - Stat Data Technologies, UCD
The final project for the Stat Data Technologies (STA 141B) course, utilizing data science pipelines, and various regression models.
Image Recognition Machine Learning/k-NN/Cross Validation - Statistical Data Science, UCD
The final group project for the Statistical Data Science (STA 141A) course, utilizing machine learning for image recognition.
Diabetes Prediction Analytics - Regression Analysis, UCD
The final project for the Regression Analysis (STA 108) course, utilizing linear regression.
Country Fertility and PPgdp Analytics - Regression Analysis, UCD
The first project for the Regression Analysis (STA 108) course, utilizing linear regression.