Soyoola Sodunke

Case Studies

This page highlights practical work in a case study format. Each entry is intended to show more than a toolset. It should explain the customer context, the business problem, the solution path, and the commercial relevance of the recommendation.

Selected Work

Case Study

AI-Driven Customer Churn Reduction

A revenue-protection case study showing how churn analytics can be positioned as an AI use case with clear executive relevance, measurable intervention logic, and a practical adoption path.

Industry: Telecommunications • Use Case: Retention Analytics and AI

Tools: Python, Scikit-learn, SQL, Power BI

Business Problem: The customer needed to reduce revenue loss from churn and move from reactive retention efforts to a more targeted, predictive approach.

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Case Study

Customer Churn Analysis

A retention-focused case study showing how customer attrition patterns can be translated into targeted action and clearer executive decision-making.

Industry: Subscription / Customer Operations • Use Case: Retention Analytics

Tools: Excel, SQL, Power BI, Python

Business Problem: The business needed to understand why customers were leaving and which segments were most at risk.

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Case Study

Enterprise Data Platform Modernization

A presales case study showing how a fragmented reporting environment was reframed into a cloud data platform opportunity with a clearer business case and implementation path.

Industry: Financial Services • Use Case: Data Platform Modernization

Tools: Azure, Databricks, Spark, Python

Business Problem: The customer needed to reduce reporting delays, improve data consistency, and establish a scalable analytics foundation without creating another disconnected platform.

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What Each Case Study Should Prove

For presales work, that combination matters more than a raw feature list.