Build an Agent That Thinks Like a Data Scientist: How We Hit #1 on DABStep with Reusable Tool Generation

Motivation: Bridging the Gap in Data Analysis The NVIDIA KGMON (NeMo Agent Toolkit) Data Explorer Architecture Open-ended Exploration and Tabular Data QA 1. Open-ended Exploratory Data Analysis (EDA) 2. Multi-Step Rule-based Tabular Data QA Cracking DABStep: A Multi-Phase Approach Phase 1: The Learning Loop Phase 2: Fast and Lean Inference Phase 3: Unsupervised Offline Reflection Results