Economist | Industrial Data & Economic Analyst

Designing analytical and quantitative tools for decision-making in industrial systems, infrastructure projects, and financial environments.

I am an economist focused on applying economic theory, data analysis, and quantitative modeling to real-world industrial and financial problems.

My work is centered on understanding how uncertainty, cost structures, and operational dynamics affect project performance and investment decisions.

I aim to translate complex economic dynamics into structured, reproducible models that support decision-making across sectors such as energy, mining, infrastructure, and finance.

• Energy & Mining Economics
• Infrastructure & Project Finance
• Financial Risk & Investment Analysis
• Industrial Cost Structures & Efficiency
• Applied Economic Analysis

This GitHub serves as a portfolio of analytical and quantitative work developed under StarmanLabs, with a focus on:

• Economic modeling of real-world systems
• Financial and investment analysis
• Data-driven approaches to decision-making
• Risk and uncertainty in project environments
• Development of analytical tools and frameworks

• Economic risk analysis of investment projects
• Financial modeling and scenario analysis
• Applied economic analysis in industrial contexts
• Ongoing development of quantitative and analytical models

My approach combines:

• Economic reasoning
• Financial modeling
• Quantitative methods
• Data-driven analysis

with an increasing focus on:

• Reproducible workflows
• Simulation-based modeling
• Code-based analytical tools (Python – in progress)

• Excel & VBA (advanced financial modeling)
• Monte Carlo Simulation
• Financial Metrics (NPV, IRR, VaR)
• Data Analysis & Visualization
• Python (developing)

To bridge economics, data, and industry by building analytical systems that improve decision-making under uncertainty in high-impact sectors.

Peru | LATAM