In Progress
9Financial Data Automation MVP
Problem: Manual variance commentary reporting in property management consumes 10-15 analyst hours monthly, is prone to errors, and creates bottlenecks. This MVP tackles this inefficiency.
Solution: Developed an AI-powered system using Python and LLMs to ingest financial data, intelligently detect variances, and automatically generate human-quality narrative commentary, streamlining a tedious process.
PythonPandasLangChainOpenAI APIExcelFinancial AnalysisProblem SolvingAI Orchestration