Projects

Using Natural Language Processing, I analyzed the complete text of the Book of Mormon to uncover linguistic patterns, sentiment trends, and thematic evolution across all books and chapters. The project used Python and advanced NLP techniques to surface insights invisible to the naked eye — from topic modeling and word frequency analysis to emotional arc mapping across the entire scripture.

Peacemaker analyzes your political discourse and gives you a civility score along with actionable tips on how to communicate more peacefully and with greater dignity. Built with AI and NLP, it helps people engage across political divides with more empathy and clarity. The tool scores rhetoric, flags divisive language, and suggests more constructive phrasing — turning heated arguments into productive conversations.

I applied NLP techniques to analyze the complete Quran, exploring themes, sentiment, and linguistic structure. Using Python, I extracted data-driven insights from one of the world's most widely read texts, revealing patterns across surahs and verses — including emotional tone shifts, recurring themes, and structural similarities between chapters.

Starting with less than 1,000 followers, I transformed Carole's social media presence to over 500,000 followers across platforms. Through strategic content planning, coaching on video creation, and implementing engaging hooks, we achieved explosive organic growth. I guided her transition from purely food content to a mix of food hacks and lifestyle content, scaling to 14 videos per week and building massive audiences on TikTok (100K+), Instagram (120K+), Facebook (300K+), and Pinterest (100K+).

As a marketer and data scientist, I recognized the need to bridge analysis and presentation. So I challenged myself to learn modern web development from scratch. Using TypeScript, React, Next.js, and Tailwind CSS, I built this responsive portfolio with beautiful animations and a modern design — demonstrating full-stack capabilities from data analysis to public deployment.

As someone who loves memorizing scriptures, I found existing solutions either too complex or lacking key features I needed. So I built my own using modern web technologies. The app features a unique first-letter memorization technique, real-time progress tracking, and cloud synchronization. Built with Next.js, TypeScript, and Supabase, it includes review history tracking and days-since-last-review indicators.