A Power BI dashboard built to analyze churn behavior across 6,687 customers for a business struggling with unclear retention insights. The dashboard combines geographic churn mapping, category-wise breakdown (Competitor, Attitude, Price), root-cause analysis by churn reason, and demographic segmentation by age group — all powered by Power Query for data modeling and DAX for calculated measures like churn percentage and churn weight. Key finding: price sensitivity drove 62% of churn, and customers under 30 represented the highest-risk segment at 56.6% of total churn weight. The result is a single-page, self-service view that lets stakeholders prioritize retention strategy by actual cause instead of guesswork.

Strong cause-first framing, Muhammad. One guardrail I’d add is separating share of churn from churn rate within each segment: 56.6% of churn weight among under-30 customers could reflect risk, segment size, or both. Pair that with customer value and intervention cost, then...

Statera is a data-curation platform designed to explain and visualize Ghana’s economic trajectory from 2016 to the present day. This project merges my academic background in Economics and Statistics with Full-Stack development to make complex national data accessible and understandable.

Key Features:

Curated and cleaned extensive datasets covering national GDP, inflation, and fiscal indicators.

Designed an interactive PHP-based dashboard to visualize economic trends over time.

Applied statistical modeling to provide context-rich explanations of economic shifts.

Engineered a fast MySQL backend to handle large-scale historical data retrieval

Strong bridge between economics and product, Jessica. For a 2016–present dashboard, I’d separate nominal from real changes, show source or methodology revisions, and mark structural breaks such as COVID or rebasing. That prevents users from reading inflation-driven movement as...