I am a Strategic Project Manager and PMP-certified professional with a career dedicated to driving business excellence and operational transformation. Currently, I am a Fellow in the Pursuit AI-Native Program, an elite 2 year intensive backed by Google, Blackstone, Citibank among others, where I build high-impact, full-stack AI solutions.
With meaningful experience at Accenture, I have led global teams to achieve intelligent operations maturity, driving success rates as high as 80% in process improvement initiatives. My mission is to bridge the gap between strategic business objectives and AI-powered automation.
Operational Excellence: Lean process improvement and Workforce Management (WFM) tools that save significant manual labor hours per employee. Business Transformation: Managed $50M+ strategic project portfolios and led large-scale mergers for companies like Johnson & Johnson and Kraft-Heinz. AI-Native Development: Building and deploying MVPs that integrate LLMs (Claude, Groq) to maximize project impact and business solutions.
The Problem: Fragmented, siloed public datasets (LL84, DOB, ACRIS, PLUTO, NOAA) made it difficult to identify which Con Edison steam customers were at risk of attrition — leaving revenue-impacting churn undetected until it was too late to intervene. The Solution: A modular, extensible attrition intelligence MACHINE LEARNING platform that reconciles five disparate NYC public datasets into a unified pipeline, feeding a Gradient Boosting Classifier (AUC 0.672) and K-Means behavioral clustering — surfaced through a React dashboard with live risk rankings, proactive AI alerting, and a 3D map — projecting 23% revenue recovery.
- Focus: Predictive Risk Modeling & Utility Revenue Intelligence.
The Problem: Manual consolidation of volatile property and macro data streams (NYC ACRIS, HPD, FRED) leading to delayed or inaccurate acquisitions underwriting. The Solution: A fully autonomous acquisitions AI agent leveraging Claude 3.5 Sonnet to continuously verify NYC signals against a deterministic Python DCF underwriting model.
- Focus: Autonomous Agent Orchestration & Real Estate Underwriting Automation.
The Problem: Fragmented logistics and union compliance risks in independent film production. The Solution: A mobile-first powerhouse that auto-calculates SAG-AFTRA rates and fringes using deterministic logic paired with AI creative tools.
- Focus: Process Improvement & Compliance Automation.
AI & Data: IDE's: Cursor, Antigravity, VS Code, Claude Code. LLM's: Claude, Gemini, ChatGPT, Perplexity, Grok. Language: Python, SQL, JavaScript, HTML. Business Intelligence: Tableau, Power BI. Claude API, Groq (Llama 3.3). Management: PMP, SAP, Salesforce, ServiceNow, Jira, Confluence, Microsoft Suite. Languages: Fluent in English and Portuguese.
LinkedIn: https://www.linkedin.com/in/pedro-a-martins Email: pedroprousa2023@gmail.com Location: New York, NY