featured work
Research Paper
Flying to the Cruise Port in Miami.
In final stages of publication.
- Developed interpretable predictive models on a 128K+ record structured dataset to classify verified satisfaction outcomes, supporting risk stratification and targeted intervention planning.
- Benchmarked 7 machine learning algorithms and identified CatBoost as the top-performing model, achieving ~0.99 ROC-AUC and ~94.8% accuracy using cross-validation and an 80/20 train-test split.
- Applied SHAP explainability and ablation analysis
Research Project:
All of Us Hackathon
- Developed a CatBoost machine learning model using All of Us data to predict non-adherence to lung cancer screening among USPSTF-eligible adults.
- Engineered and organized cohort, survey, and healthcare utilization data into a usable predictive analytics pipeline incorporating demographics, smoking history, and social determinants of health.
- Designed clinician and patient-facing application concepts, including a screening outreach dashboard.
Upcoming Research Project
My Tableau portfolio.
Discover how I harness Tableau to transform complex data into actionable insights. This collection showcases a range of visualizations that demonstrate my expertise in data storytelling.
Twitter US Airline Sentiment
Analyze how travelers in February 2015 expressed their feelings on Twitter. A sentiment analysis job about the problems of each major U.S. airline. Twitter data was scraped from February of 2015 and contributors were asked to first classify positive, negative, and neutral tweets, followed by categorizing negative reasons (such as "late flight" or "rude service").
This portfolio features my work with PySpark and Databricks, highlighting how I address complex data challenges. Browse through to see my capabilities in processing and analyzing big data at scale, and how I deliver robust, data-driven solutions.
Dive into my curated collection of R notebooks, featuring comprehensive code examples for statistical analysis. Each notebook is designed to demonstrate practical applications of statistics using R, providing insights into my analytical approach and coding proficiency.
Computer Vision
Stay tuned for me latest AI Vision project
LiquidPortfolioResume, developed during a Natural Language Processing class, is an AI-assisted platform that streamlines the organization, storage, and retrieval of academic materials. It transforms traditional academic portfolios into dynamic tools for learning continuity and student success, also, enhancing interactions with recruiters and prospective employers.
Thank you for visiting my featured work page. I am eager to showcase my expertise and discuss how we can leverage data analytics and Artificial Intelligence to achieve your objectives. Let's explore the possibilities together!