Roxanne Dimadi

Hello! Glad to see you here. This is my online Portfolio, a collection of my work.

Click around to see projects showcasing concepts like Machine Learning, Data Science, Deep Learning, Image Classification, Time Series, Bayesian Statistics, Data Engineering / Cloud Computing, and others.

Featured Projects All Projects

Featured

Selected Projects

Software & Data Product

E-Valuating Seattle Charging

Interactive Streamlit app that maps Seattle EV stations against traffic and demographics by ZIP so you can explore coverage gaps and placement recommendations.

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Interactive Analysis

AI vs Dot-Com Comparison

Live React dashboard comparing today’s AI boom with the Dot-Com bubble using macro indicators and company valuation metrics.

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Statistics

Faculty Salary Explorer

Adjusted sex comparisons of faculty pay (1976-1995): why raw mean gaps mislead, and how experience, rank, field, and admin roles enter as controls for starting salary, promotion raises, and overall salary.

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Ordinal regression analysis for fatigue and weakness

Statistics

Fatigue & Weakness: Ordinal Regression

Cumulative logit (proportional odds) models for SSC-F fatigue given SSC-W weakness and treatment: aggregation to weighted cell counts, nested model comparison (LRT, AIC, BIC), and steep odds ratios across weakness levels.

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Portfolio

My Projects

All
Data Analysis
Machine Learning
Cloud Computing
Coding
Statistics

E-Valuating Seattle Charging

Streamlit dashboard mapping EV stations to traffic and demographics by ZIP

AI vs Dot-Com Comparison

Interactive comparison of AI valuations against the Dot-Com bubble

Faculty Salary Explorer

Confounding, controls, and adjusted sex gaps for starting pay, raises, and salary

Fatigue & Weakness: Ordinal Regression

Proportional odds for SSC-F/SSC-W; weakness-only preferred for fatigue; LRT/AIC/BIC

Looker Studio: Citations

Interactive Looker Studio report exploring citation and publication patterns

Machine Learning Model Comparison

Compared classifiers with ROC-AUC to evaluate predictive performance across models

Python

Object-oriented design, data structures, runtime analysis, and software testing in Python

Power BI

Interactive Power BI dashboard for exploring and visualizing structured survey data

R Data Analysis

Data cleanup, exploration, and custom charts built directly in R

Looker Studio: Alumni

Alumni analytics dashboard; live link withheld for data security

Bayesian Statistics

Introductory Bayesian methods in R, from priors to posterior inference

SAS

Data wrangling and statistical workflows implemented in SAS

Cloud-Based Voter Data Pipeline

Voter turnout and party affiliation pipeline with BigQuery, Databricks, and PySpark

Image Classification: Pizza Pub

Computer vision model that classifies pizza types from IV Pizza Pub security footage

Time Series Forecasting in R

SARIMA model on FRED unemployment data with Box-Cox transforms and seasonal diagnostics

Serverless Web Application

AWS serverless web app built with API Gateway, Lambda, and related cloud services

Cloud Computing Certifications

Databricks, Spark, and Google Cloud credentials in data engineering and analytics

Logistic Regression

Binary logistic model of labor force participation with covariate interpretation

Regression for Ordinal Outcomes

Ordinal regression for ordered categorical responses and coefficient interpretation

Regression for Multinomial Outcomes

Multinomial models for unordered categorical outcomes across competing categories

About

About Me

GitHub

Resume

My name is Roxanne Dimadi, I'm a graduate from the University of California, Santa Barbara. I have a BA in Economics, a BS in Statistics, and I'm currently working on my MS of Data Science from the University of Washington. Message me with any questions or if you want to connect.