Kevin Alvarez

Built a Streamlit web application that converts a standard monthly inventory aging report for any country into instant, actionable risk assessments. In one click, the tool generates formatted Excel tracking reports, executive PowerPoint slides, and an interactive dashboard highlighting exact financial value at risk.

Designed an internal shipping app that automates complex export documentation with a few clicks. The platform instantly generates compliant Commercial Invoices, Weight Verifications, SLIs, and country-specific trade forms like AUSFTA and CUSMA, cutting manual processing time by up to 95%.

Developed a dynamic Power BI dashboard to track promotional vs. baseline performance, providing leadership with the real-time insights required to optimize product lifecycles and execute discontinuation strategies.

Developed a data-driven talent acquisition dashboard in Tableau titled to optimize player recruitment for the Miami Marlins' third-base position. The tool serves as a comprehensive decision-making framework for sports analysts and front-office executives looking to maximize ROI per dollar spent.

Built a comprehensive Tableau dashboard tracking and analyzing Los Angeles crime volume across a four-year timeline (2020–2024). This public-facing analytics tool enables users to drill down into specific crime types, delivering data-driven insights into urban safety trends.

Engineered an end-to-end Python data science pipeline in Google Colab to analyze and optimize a North American e-commerce dataset. The project leverages RFM analysis and K-Means Clustering to segment customer behavior, alongside Logistic Regression and Forecasting models to predict churn and future sales trends. The resulting insights provide a data-driven framework for targeted marketing strategies, inventory optimization, and long-term customer retention.