Analyzed the global correlation between Corruption (CPI) and Human Development (HDI). Built a publication-ready, Economist-styled scatter plot using R to highlight governance trends and outliers.
Built a multi-step Deep Research Agent using Pydantic AI and GPT‑5‑mini that orchestrates DuckDuckGo web searches to generate structured, evidence-based reports on stock tickers and complex general topics.
Intent-aware stock vs. general research
Parallel deep dives with cited evidence
PythonPydantic AIGPT‑5‑miniDuckDuckGo search toolsStructured research reports
Built regression-based cost models in Python to quantify how age, BMI, number of children, smoking status, and region influence annual medical insurance charges and risk tiers.
Developed full-stack AI platform with HTML/CSS/JavaScript frontend and n8n-powered Agentic AI backend to deliver personalized CTE & dual-enrollment recommendations for DC students.
Full-Stack DevHTML/CSS/JSn8n WorkflowsAgentic AIAI for Good
Applied simple linear regression in R to analyze how global availability impacts Netflix movie ratings, revealing statistical patterns in worldwide content performance.
Analyzed 1M+ Spotify tracks in R exploring how danceability, energy, genre, duration, and temporal trends influence song popularity using correlation and regression models.