Adnan Ayoub

SaaS Churn Analysis

• Developed business case for customer retention by analysing 2,000 SaaS customers to identify churn drivers; discovered engagement metrics (login frequency + daily usage) are 3x more predictive than account tenure—daily users churn at 13% vs. 85% for rare users. • Performed statistical validation using chi-square tests (χ² = 870, p ≈ 0); segmented customer cohorts by usage intensity and identified 670 at-risk customers in low-usage segment (81% churn rate). • Defined data-driven retention strategy uncovering $200K+ annual revenue recovery opportunity; built interactive Power BI dashboard visualizing cohort churn rates, usage trends, and early-warning KPIs.

BlinkIt Sales Analysis

• Analysed 8,500+ grocery sales transactions across outlet types, locations, and product categories to inform inventory and expansion strategy. • Identified high-performing segments—medium outlets in Tier 3 locations, low-fat product preference, top-selling categories—and translated into data-driven inventory and expansion recommendations. • Built dynamic Power BI dashboard with DAX measures enabling data-driven inventory and expansion decisions.