I help organizations transform revenue, pipeline, customer, and commercial data into actionable business insights that improve growth, forecasting accuracy, sales performance, and executive decision-making.

With 10+ years of experience across commercial operations, sales, trade marketing, logistics, and business intelligence, I combine deep business expertise with modern analytics capabilities to solve real-world revenue challenges.

📈 Revenue Analytics

🎯 Revenue Operations

💰 Commercial Intelligence

📊 Sales & Funnel Analytics

👥 Customer Analytics

🔮 Revenue Forecasting

📋 Executive Reporting

⚙️ Data Quality & Governance

An end-to-end Revenue Intelligence solution designed to improve visibility into pipeline performance, sales effectiveness, customer value, and revenue growth.

📊 $2.0B Pipeline Analyzed

💰 $342.8M Revenue Tracked

🎯 100K Leads Evaluated

👥 10K Customer Records

• Revenue Analytics

• Funnel Analytics

• Customer Intelligence

• Sales Performance Analytics

• Executive KPI Reporting

🔗 Repository: Revenue Operations Intelligence Platform

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

Identifying Conversion Bottlenecks, Retention Decay, and High-ROI Channels

🚀 End-to-end analytics project combining SQL, Python, and Power BI to diagnose where growth breaks across the marketing funnel and how to fix it.

• 🚨 Largest drop-off at SQL → Customer (~67%)
• 📉 Conversions heavily front-loaded (0–30 days)
• 🔁 No delayed conversion or lifecycle recovery
• 💸 LinkedIn shows high CAC with low conversion

This system enables:

• 🎯 Identification of conversion bottlenecks
• 📉 Reduction of funnel drop-off
• 💰 Optimization of marketing spend
• 📊 Better allocation across channels
• 🔁 Integration of acquisition + conversion + retention

🔗 Repository: Cohort-Based Marketing Funnel Analysis)

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

• Revenue Analytics

• Revenue Operations

• Commercial Intelligence

• Revenue Forecasting

• Pipeline Analytics

• Customer Analytics

• Sales Analytics

• Business Intelligence

✔ 10+ years of commercial, sales, operations, and analytics experience

✔ Built enterprise-scale Revenue Operations, Marketing Analytics, and Business Intelligence solutions

✔ Experienced in forecasting, KPI governance, executive reporting, and performance optimization

✔ Passionate about helping organizations improve revenue performance through data-driven decision-making

💼 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.”