Portfolio Overview

2024

Focused on UK and Canadian seniors, this project analyzed elderly individuals' attitudes toward aging, identifying key personality-based attitude clusters and demographic insights. Python-driven NLP and statistical methods highlighted meaningful differences across traits, with findings presented in a detailed report. This survey also included a thorough demographics analysis.

Demographics, Data Visualization, Python, Pandas, NLP, Surveys and Reporting

2024

Study exploring the relationship between personality traits and patient satisfaction with endoscopic weight loss treatments. This involved data transformation, of programmatically transcribing patient interviews to get text data, then using NLP to score patients on different personality metrics. Analysis revealed outcomes correlated primarily with initial weight rather than personality, guiding patient expectations and treatment approaches.

Transcription, Data Transformation, Pipeline building, Python, Pandas, NLP, Healthcare, Weight loss

Smoking Cessation Study - J&J

2023-2024

This study analyzed over 6,000 participants' traits to identify effective quitting strategies. Using NLP, clustering, dimensionality reduction, and building a custom ML model, the study recommended personalized cessation methods based on personality profiles. Data visualizations were generated, and the insights were presented in a PowerPoint summary.

ML Model Design and Implementation, Applied AI, Pipeline building, Python, Pandas, NLP, Healthcare

Low Calorie Diet Analysis - NHS

2023-2024

This analysis correlated personality scores with wellness measures, diabetes management motivation, and physical activity. Results contributed to an understanding of personality-driven motivations in health behavior change. Summarized findings in a formal report.

Demographics, Data Visualization, Python, Pandas, NLP, Surveys and Reporting

Utah Weight loss Study - University of Utah

2023-2024

This project aimed to find correlations between weight-related metrics and insurance or referral sources. Two clusters of personality types emerged, but the data sample was too small to draw conclusive insights. Results were summarized in a PowerPoint presentation.

Transcription, Data Transformation, Pipeline building, Python, Pandas, NLP, Healthcare, Weight loss

EDII Consultant Finder - BiasProof

2023

This project involved creating a tool that tests employees for various biases and dynamically recommends EDII consultants based on performance metrics. Consultant rankings improve based on client ratings and pre/post-training assessments, allowing the recommendations to evolve and become more effective over time. Summarized results and case studies in a formal report.

ML Model Design and Implementation, Applied AI, Pipeline building, Python, Pandas, NLP, Healthcare