RACHEAL AYOBAMI ADELUSI

Analyzed revenue and consumption data across 12 business units, identifying under-performing feeders with <30% collection efficiency, uncovering N1.47B/month in outstanding revenue, and recommending strategies that optimized financial performance and revenue recovery.

Spearheaded low-vending investigations for 171 Band A Prepaid meter customers, identifying abnormal vending patterns, conducting 50 field visits, and recovering approximately N2 million in revenue.

Designed performance-driven Power BI dashboards, enhancing management visibility into operational performance, enabling real-time insights, and accelerating decision-making by 30%.

Executed routine feeder energy accounting, meter audits, and compliance checks, maintaining compliance standards for multiple substations and minimizing energy theft incidents by 40%.

Automated monthly revenue reporting processes using Python and Excel macros, reducing report generation time from 5 days to 2 days, enabling faster strategic interventions.

Conducted comprehensive technical analysis of transformer loading patterns across 80+ distribution transformers, identifying 15 overloaded assets, and recommending capacity upgrades to prevent potential network failures.

Monitored equipment performance metrics and documented daily technical activities, establishing systematic logging procedures that reduced incident response time by 35% and enhanced preventive maintenance planning.

Leveraged data analysis techniques to identify the top three equipment failure modes, leading to a 20% reduction in overall equipment downtime and streamlined operational efficiency.

Created standardized technical reports and maintenance logs for 20+ critical equipment assets, improving knowledge transfer between shifts and supporting data-driven maintenance budgeting decisions.