Tony O.

Project Description A data-science-driven predictive application that integrates internal sales pipelines, digital marketing investments, and external real estate demographic data into a single, unified revenue forecast. The application breaks down traditional data silos by mapping CRM deal progression alongside marketing expenditures (Google Ads, Meta) and regional socioeconomic metrics, giving corporate leadership an exceptionally accurate look at future market demand. Key Features Unified Forecast with Confidence Bounds: Generates a predictive revenue model featuring custom 95% upper and lower statistical confidence limits. Stage-Weighted Probability Profiling: Applies strict risk-adjusted values to sales stages: Won (100%), Projected Won (80%), Tracking (60%), and Pending (20%). Socioeconomic Data Integration: Ingests external variables including zip codes, average household income levels, new property listings, and single-family asset inventory. Sales vs. Marketing Delta Analytics: Highlights variances between pipeline sales reporting and marketing-derived lead indicators. Business Value Replaces guessing with an objective, data-backed revenue model. By revealing the exact gap between active sales pipelines ($6.5M) and marketing lead indicators ($49.7M), this application eliminates friction between teams and gives executives a reliable, validated forecast to guide growth.

Project Description A highly sophisticated human capital forecasting system designed for an electrical contractor managing over 1,200 active employees and a $156M+ revenue backlog. The application utilizes a linear regression model built on historical revenue and labor hours from ERP data, projecting precise labor headcount requirements directly alongside forward-looking operational revenue pipelines. Key Features Predictive Labor Regression Engine: Applies mathematical modeling to project headcount demands based on future revenue volumes. Stacked Workforce Forecasts: Dual tracking layers modeling CEC staff, leased labor, general conditions, and probability-weighted pipeline demand. Hourly Financial Performance Profiles: Live monitoring of Revenue Per Hour and Profit Per Hour trendlines to protect labor utilization. Licensing Compliance Matrix: Maps workforce requirements against certified license types: Apprentice, Journeyman, Master, Plumbing, and Indentured classifications. Business Value Solves the critical industry challenge of matching labor capacity with construction backlogs. It allows HR and recruitment teams to anticipate specialized trade shortages months in advance, optimize apprenticeship intake, manage leased labor costs, and make highly accurate, data-backed bidding decisions.