Acquisition screening engine for corporate development and investment teams — ranking targets using weighted strategic, financial, and risk factors.
Analyze consumer preferences to segment products and guide product, pricing, and portfolio strategy using affinity-based data.
ERCOT plan comparison demo: simulate electricity bill costs from 15-minute usage and weather scenarios, then rank plans (MVP, extensible lakehouse roadmap).
POC de CRM Analytics focada em modelagem de propensão à resposta, com análise exploratória orientada à decisão, engenharia de atributos e preparação de dados para profit targeting.
Data-driven product lifecycle analytics project exploring repairability, residual value, condition, and end-of-life decisions using SQL, Power BI, Python, predictive analytics, and web development.
Synthetic creator resource-allocation case using Python, SQL, fixed top-N back-testing and experiment design.
An Excel project analyzing road accidents. It shows that daily city traffic is actually riskier than extreme weather. I used weighted scoring and a prioritization matrix to turn data into clear insights using a professional dashboard.
Decision analytics engine that optimizes multi-channel marketing budget allocation using regression with diminishing returns and constrained optimization across multiple budget scenarios.
Automated Check-in system designed and built for tour operators (demo version)
CHecklist for Assessing Open Source Health Economic Models (CHAOS)
Decision-focused Python analysis of Volt-Bike operations showing that higher operational cost does not necessarily increase customer satisfaction. Using correlation analysis, variability measures, R² evaluation, and visual analytics, the project identifies product innovation as a stronger value driver than further process optimization.
Affinity-based consumer segmentation analysis linking product attributes to distinct customer personas, with strategic implications for pricing, positioning, and portfolio design.
Optimizing Toronto warming centre staffing and capacity using Excel Solver, Python simulation, and Monte Carlo stress testing.
Excel-based supplier selection and supply chain network optimization using decision analytics
Decision Analytics using fantasy sports data
Professional Python project for continuous intelligence.
Reproducible computational platform for NC-ES-MADM II: entropy–reliability integrated weighting, supervised calibration, robustness diagnostics, and manuscript figure generation.
Decision analytics case studies applying statistical reasoning and regression analysis to managerial decision-making contexts.
Constraint-first hardware design decision tool with feasibility filtering, Pareto analysis, and sensitivity-aware recommendations (Streamlit)
Healthcare sales analytics and doctor prioritization case study using Python, SQL, SQLite, and dashboarding.
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