A Grocery Coordination App for Busy Households

HouseCart turns scattered, memory-dependent family grocery shopping into a shared, repeatable system: a master list, reusable store templates, and live trip tracking so nothing gets forgotten or duplicated.

Conversational Analytics for B2B Sales Pipelines

An AI assistant that lets stakeholders ask plain-English questions about sales pipeline performance and get back charts, tables, and summaries in real time.

An Agentic RAG System with Tool-Calling and Conversational Memory

An AI agent that acts like a knowledgeable bike shop employee, using five specialized tools to search, summarize, compare, and recommend Cannondale bikes through natural conversation.

A weekly scraper, a Next.js dashboard, and a Google Calendar integration, end to end.

How I solved a personal pain point — tracking DC-area data and AI meetups — by building an end-to-end automation with Claude Code, a Next.js dashboard, and Google Calendar integration.

Understanding and Improving Sales and Marketing Strategies

Analyzing a year's worth of B2B sales pipeline data to establish benchmarks, identify seasonal patterns, and evaluate sales rep performance.

A Case Study of Predictive Analytics in Marketing

Building a machine learning model to score email leads based on conversion likelihood, connecting predictions to ROI and deploying with FastAPI and Streamlit.

In Pursuit of Model Accuracy!

A data science project to predict hourly bike rentals in the city of Seoul using date and weather seasonal data.

A Case Study Using K-Means Algorithm

This project uses k-means clustering to segment banking customers and create targeted personas for improved engagement and personalized financial product offerings.