I build analytics solutions that transform workforce, revenue, operational, and marketing data into actionable business insights.

My work focuses on helping organizations make smarter decisions through forecasting, optimization, executive reporting, workforce planning, and performance analytics.

📊 Build executive dashboards and business intelligence solutions

👥 Analyze workforce trends, staffing demand, and retention risks

📈 Optimize revenue performance through forecasting and analytics

🎯 Measure marketing effectiveness and investment impact

⚙️ Automate reporting processes and improve data quality

📚 Transform complex datasets into decision-ready insights

A strategic workforce intelligence platform designed to help organizations balance workforce supply, forecast staffing demand, identify retention risks, and optimize recruitment effectiveness.

✅ Workforce Forecasting

✅ Staffing Gap Analysis

✅ Attrition Intelligence

✅ Workforce Risk Assessment

✅ Recruitment Performance Analytics

✅ Executive Workforce Planning Dashboards

• Analyzed workforce activity across 5,000 employees
• Identified a projected workforce gap of 2,735 positions
• Monitored workforce risk exposure across 8 departments
• Evaluated recruitment capacity against forecasted workforce demand

🔗 Repository: Enterprise Workforce Planning & Talent Intelligence

An end-to-end analytics solution designed to evaluate marketing effectiveness, forecast revenue impact, and optimize budget allocation decisions.

✅ Marketing Mix Modeling

✅ Revenue Forecasting

✅ Budget Optimization

✅ Scenario Analysis

✅ Channel Performance Evaluation

✅ Executive Marketing Dashboards

• Quantified channel-level marketing effectiveness
• Simulated budget reallocation scenarios
• Delivered revenue optimization recommendations
• Supported data-driven marketing investment decisions

🔗 Repository: Marketing Mix Modeling & Revenue Optimization

An automated data quality framework designed to identify anomalies, duplicates, inconsistencies, and reporting issues across operational datasets.

✅ Data Validation

✅ Data Quality Monitoring

✅ Reporting Governance

✅ Process Automation

✅ KPI Monitoring

This system demonstrates how raw administrative data can be transformed into a governed analytical asset that supports:

• ✅ Improved revenue forecasting accuracy
• ✅ Better policy decision-making
• ✅ Early detection of data degradation
• ✅ Increased trust in reporting systems
• ✅ Reduced manual data validation effort

📌 Key Insight: Data quality issues are not reporting errors — they are decision risks.

🔗 Repository: Data Quality Monitoring & Governance System

• Business Intelligence
• Workforce Planning Analytics
• Revenue Operations Analytics
• People Analytics
• Forecasting & Optimization
• Executive Dashboard Development
• Data Quality & Governance
• Strategic Analytics

• 5+ years of experience in analytics, operations, and business performance management
• Built enterprise-scale workforce planning and marketing analytics platforms
• Experienced in forecasting, KPI reporting, and executive decision support
• Passionate about turning data into strategic business outcomes

💼 LinkedIn www.linkedin.com/in/abodunrin-oketade

📂 GitHub Portfolio https://github.com/Richie-Rokka

📧 Email aoketade@gmail.com

“Data becomes valuable when it drives better decisions.”