AFZAL NAIMOV

Analyzed diagnostic results across 35,000+ medical images spanning 8 disease categories, tracked performance metrics, and generated weekly quality assurance reports for clinical validation. Built Power BI dashboards monitoring 99% accuracy benchmarks for cancer detection systems, reducing manual reporting time by 40% through automated pipelines. Conducted root cause analysis on 200+ low-confidence cases using SQL and Python, identifying 3 key error patterns and providing recommendations to improve diagnostic reliability. Delivered 15+ diagnostic insight reports to healthcare partners, translating diagnostic data into clinical recommendations supporting telemedicine integration for 5 pilot facilities.

Managed distribution operations across 3 regional warehouses serving 1,300+ retail clients, coordinating logistics, inventory management, and vendor relationships across nationwide distribution network. Optimized delivery operations and route planning, working with transportation partners to improve on-time delivery rates by 18% and reduce lead times by 12%. Analyzed operational cost structures and identified process inefficiencies, implementing improvements that generated $75K+ in annual cost savings. Developed performance tracking systems using Power BI and Excel (Power Query, Pivot Tables) to monitor KPIs across sales, inventory, and logistics for stakeholders.

Analyzed inventory levels and replenishment patterns, identifying optimization opportunities that reduced stockouts by 15% and lowered overstock costs by 10%. Created Excel-based KPI dashboards tracking sales team performance, supporting incentive alignment that contributed to 12% improvement in productivity. Streamlined weekly reporting by building automated Excel templates with Power Query and macros, reducing reporting time from 5 hours to 2 hours (60% efficiency gain). Analyzed sales data and margin performance across product categories and retail channels, providing data-driven recommendations for pricing and discount strategies.