🔧 Products & Methods
Here you’ll find data products, models, and tools I’ve developed using real-world datasets to demonstrate the depth of my technical skills. Each project highlights a different area of applied AI and data science: from experimentation and machine learning to NLP and end-to-end analytics workflows.
These examples are hands-on and code-driven, designed to show how I work through ambiguity, clean and structure data, and ultimately translate complexity into insight, scalability, and action.
APMi: Audience Persona Mining
Audience Persona Mining Automation App leveraging ML and basic LLM embeddings.
VISUALi: Creative Component Analysis using Computer Vision
Go beyond creative gut feeling and A/B tests.
Modeling Discourse Similarities using Kamada-Kawai Graphs with LDA
Mixed LDA/Network method to intuitively understand communities’ conversational similarities/differences.
Mapping Consumer Movement Across Supplement Retail Chains
Implementing data wrangling and algorithms to reveal different foot traffic perspectives.
Understanding Viral Narratives Among Women with Young Children
Bespoke data science and visualization solution designed to map the organic structure of maternity- and parenting-related conversations on TikTok using real-time data, network modeling, and intuitive visual storytelling.
Applying Simple ML to Simplify Behavioral Surveys for Real-World Decision Science
Behavioral science is only as useful as it is applicable. This project moves us closer to a new generation of simplified, modular behavioral diagnostics, ones that reflect how real people behave: not in theory, but in messy, overlapping ways.
Explainable Artificial Intelligence (XAI) in Consumer Finance
Personal research on explainable AI applications in consumer finance.
