Karim Maher

Performed statistical and numerical analysis on retail datasets using Python to uncover insights, detect anomalies, and optimize business performance. Built interactive Power BI dashboards and KPI frameworks to monitor sales performance and customer trends.

Impact: Improved data accuracy and reduced operational errors by 60% through validation and preprocessing. Proposed data-driven sales optimization strategies resulting in a 20% increase in overall sales performance.

Analyzed sales and inventory data across multiple Balban branches to identify operational inefficiencies and stock management issues. Developed a comprehensive analytical application and dashboard presenting branch performance and sales insights.

Impact: Discovered 20% of inventory exceeded required stock levels, helping reduce product spoilage. Reduced operational losses by 10% and contributed to a 20% increase in profitability through data-driven recommendations.

Conducted comparative sales analysis for two restaurant businesses to evaluate performance, identify operational weaknesses, and uncover growth opportunities. Analyzed sales trends, revenue performance, and operational data.

Impact: Identified key inefficiencies contributing to revenue loss and proposed data-driven strategies aimed at increasing sales by 20% and reducing operational losses by 10%.

Processed datasets containing 6,000+ null and unknown values through data cleaning, preprocessing, and validation techniques for a cafe sales project.

Impact: Reduced data error rates by approximately 50% and improved overall data accuracy by 30%, transforming raw datasets into reliable, analysis-ready data.