Overview

As an Associate Data Scientist at Cmind AI, I worked on AI systems that supported earnings prediction and financial text analysis. The work combined data science, software engineering, MLOps, and analyst-facing product thinking — the goal was not only to train accurate models, but to build …

Overview

Top 3 Finalist in the Google x UC Berkeley Analytics Hackathon. Diagnosed a 3x customer churn spike for a SaaS company by analyzing messy, real-world datasets and delivered an executive-ready recommendation projected to retain $23M in annual contract value.

Problem Statement

BizGrow, a SaaS …

Overview

During my Data Analyst internship at Bluebono, I worked on a residential real estate analytics project connecting local housing market conditions to loan-to-value (LTV) decision-making.

The core insight: property risk is not only about the property itself. A similar home can carry different …