Available for hire

Felipe Postigo

Commercial Strategy + Applied AI
Commercial strategy operator who turns messy data, manual planning, and fragmented workflows into AI-enabled forecasting, reporting, and execution systems. Combines $16B enterprise revenue planning, commercial leadership, and hands-on AI automation.
AI Strategy Commercial Planning Forecasting Decision Support
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LinkedIn [email protected]
$16B
Revenue Planning
90%+
Forecast Accuracy
6
AI Workflows
120h
Hours Saved/Qtr
Work and Education
Dell
Dell
Moller
Moller
Michigan
Michigan
UC
UC Chile
AI & Cloud
OpenAI
OpenAI
Claude
Claude
Fireworks
Fireworks
llama.cpp
llama.cpp
Qwen
Qwen
Hermes
Hermes
Productivity
Excel
Excel
PowerBI
PowerBI
Business Workflow Automation System
Production
Turns recurring manual processes into scheduled, monitored execution loops. Shows how business teams can move from one-off analysis to always-on operating systems that save time and reduce follow-up load.
Finance Intelligence & Decision Support
Production
Local decision-support system for transaction classification, anomaly detection, and spending visibility — a practical prototype for AI-assisted FP&A and commercial planning workflows.
ML Forecasting & Margin Risk Detection
Prototype
Built forecasting and margin-signal prototypes to flag business risk earlier, support planning conversations, and turn model output into commercial decisions. Forecasting work reached 90%+ accuracy.
Automation Case Study
Production
PC-to-Android task execution demo
AI Workflow Capabilities
  • SSystem Coordination
    Oversight, routing, and reliability
    Active
  • FFinance Analysis
    Tracking, classification, anomaly review
    Active
  • RResearch Synthesis
    Market, technical, and strategic research
    Active
  • AWorkflow Automation
    Repeatable task execution
    Active
  • MMarket Monitoring
    Signals, briefings, and watchlists
    Active
  • DDecision Support
    Planning prompts and next-step support
    Active
Tech Stack
Python
Python
SQLite
SQLite
Docker
Docker
GitHub
GitHub
Experience
Dell
Dell Technologies
Lead — Analytics, AI & Program Strategy (2023–2026)
Led digital transformation from 2-person 80-hour process to 1-person streamlined operation. $16B+ enterprise server revenue with 90%+ forecast accuracy. Built AI-enabled forecasting models and executive reporting ecosystems.
AI/MLStrategy
ACHS
ACHS (Hospital)
Commercial Head (2020–2021)
Redesigned data-driven commercial workflows and customer engagement increasing sales 20%. Built commercial performance dashboards and operational analytics reducing reporting effort by 90%.
StrategyAnalytics
Moller
Moller y Perez-Cotapos
Associate Manager — Real Estate Business Development (2018–2020)
Led team of 7 analysts. Acquired 10 properties worth $64.6M. 22 investment projects, +60% business unit profit. Automated forecasting models (+50% accuracy, -25% execution time).
Real EstateLeadership
Moller
Moller y Perez-Cotapos
Head of Real Estate Business Development (2017–2018)
Developed and presented strategy to board of directors, acquired 9 properties for $57M. Closed 8 fund deals for $40M at 11% ROI. Evaluated 1.2K properties worth $4.2B.
StrategyNegotiation
Moller
Moller y Perez-Cotapos
Real Estate Product Manager (2014–2017)
Directed cross-functional execution across sales, marketing, construction, and development. +25% monthly sales. Resolved permitting bottlenecks. Negotiated construction contracts for cost/quality.
ProductOperations
Moller
Moller y Perez-Cotapos
Development Engineer — Real Estate Division (2012–2014)
Conducted market research and financial modeling on hundreds of properties yearly.
Analysis
Michigan
University of Michigan
MBA, Stephen M. Ross School of Business (2023)
Awarded Dean's Fellowship (Merit Full-Tuition Scholarship). Focus on strategy and operations.
MBA
UC
Universidad Catolica de Chile
BBA, Honors Scholarship (2012)
Awarded Honors Scholarship. Graduated top 11%. Teaching assistant and mentorship.
BBA

Built as a hands-on AI productivity system for research, planning, automation, and decision support

Designed to show practical business AI adoption: measurable workflows, reliable execution, and commercial decision support.

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