Statistical & Data Science Portfolio

A curated collection of statistical analyses and data-driven insights.

I’ve completed various projects applying advanced statistical and machine learning techniques to solve practical problems. Notably, I leveraged MANOVA and classification methods to uncover significant predictors of wine type and quality, analyzed U.S. healthcare spending trends from 1980-2014 to identify factors behind rising costs, and developed a Random Forest model achieving high accuracy to classify patient symptom severity. Additionally, I’ve created interactive dashboards—including a Quarto dashboard visualizing 100m sprint results and Shiny apps analyzing UK accident data and Yelp spatial reviews—and delivered machine learning models with measurable outcomes, such as a 56% performance increase in forecasting customer returns and accurate classification of wine origins and income brackets exceeding $50K.

Statistics

Applied Multivariate Analysis

Bringing modern stats to uncover wine attribute patterns and differences.

Exploring wine attributes through EDA, MANOVA, and classification models reveals significant chemical differences and predictors of wine type and quality.

Healthcare Spending Analysis

In-depth exploration of rising U.S. healthcare costs from 1980 to 2014.

This report examines the surging healthcare costs in the U.S. from 1980 to 2014, revealing the factors behind its status as one of the world's most expensive countries for healthcare.

Symptom Severity Analysis

Exploring patient symptom data for improved healthcare insights.

Using symptom analysis, this study employs a Random Forest approach to predict severity levels in patients, aiming to enhance healthcare decision-making.

Interactive Visualizations

Lightning-Fast 100m Dashboard

A dynamic Quarto-based dashboard analyzing 100m results.

The 100m Dashboard! Dash your way to victory and look beyond! Take your gold medal and observe that this dashboard was built using just quarto.

UK Accident Time Series

A Shiny-based approach for analyzing historical accident data across the UK.

This accident time series app allows you to explore and analyze data related accidents in UK. Feel free to download the data and explore other methods of analysis.

Yelp Reviews Spatial Analysis

Explore Yelp reviews and spatial trends using our interactive dashboard.

An interactive Shiny dashboard for exploring Yelp business reviews, spatial patterns, and advanced spatial modeling.

Machine Learning

Enhanced Customer Return Forecasting

A swift 56% leap in performance in customer return forecasting!

Predict customer product returns, leveraging detailed product characteristics and customer demographics.

Pinot Province Prediction

Classifying wine origin with advanced data analysis and ML.

Our project sets a new bar in wine origin identification, transforming how industry professionals use critic data.

Predicting 50K+ Salaries

Accurately classify individuals by income bracket using advanced ML.

Expertly predicting $50K+ incomes through ML, our project highlights the synergy of data science skills and team collaboration.