Abdullah Ajmal

Owned the end-to-end peak demand strategy, cutting inefficient delivery times by 30% through rigorous risk-benefit analysis for operations leadership. Drove a 40% reduction in high prep-time merchants by quantifying risk to order volume and downstream delivery performance.

Founded and created a data analytics channel teaching practical skills to aspiring analysts. Focuses on clear explanations that make complex concepts easier to learn and apply.

Automated PostgreSQL SQL procedures processing 500K+ records, eliminating 20+ hours of weekly manual work across two teams. Reduced accounting reconciliation time by 60%, supported segmentation growth from 200 to 300 subscription clients (+$10K annual revenue), and built real-time P&L dashboards that cut executive decision-making time by 25% across three divisions.

Built a customer analytics platform in Python and SQL that drove 75% retention growth and a $6K revenue increase. Designed a KPI modeling framework improving forecasting accuracy by 40% and delivering a 20% profit increase, and created Tableau dashboards that improved sales performance by 25%.

Activities and societies: Data Analytics Specialized; coursework: Big Data, Business Analytics, Statistics, Operations Research, Data Analysis, Systems Optimization.

BSc in Industrial Engineering with a Data Analytics specialization at Özyein University, including coursework in big data, business analytics, statistics, and operations research.