Live M&A Comparable Companies Analysis: Tech Sector Deal Tear-Sheet
A Python-based tool that pulls real public financials for tech sector M&A comps, builds a professional comps table with EV/EBITDA, EV/Revenue, and P/E multiples, and uses a GPT-4 reasoning chain to generate a structured analyst memo — complete with outlier detection, valuation range synthesis, and deal rationale narrative. Mirrors the end-to-end workflow of an M&A analyst on a bulge bracket tech deal.
PythonOpenAI API (GPT-4)SEC EDGARMacrotrends
Howard Davner
M&A Deal Intelligence Analyzer
A Streamlit app that lets users upload a public M&A document (press release or SEC filing) and uses Claude to extract key deal facts — acquirer, target, deal value, rationale, and synergy estimates — outputting a clean, structured deal memo. Built for aspiring M&A analysts who want to demonstrate AI-assisted due diligence skills in their portfolio.
PythonStreamlitAnthropic Claude APIPyPDF2
Howard Davner · rutger
Megaproject Schedule Slip Predictor
A live web app that ingests public infrastructure project data, runs Prophet time-series forecasting to predict schedule completion dates, and flags projects at risk of slipping. Built for analysts and portfolio reviewers who want to see real AI-driven forecasting on real data — accessible via a public URL with a searchable React frontend backed by a FastAPI service.
PythonProphetpandasFastAPI
Howard Davner