David Gamal

• As a Data Scientist at "GOODSMART", I leverage advanced analytics and machine learning techniques to drive strategic decisions and optimize operational efficiencies. Key contributions include:
• -Project on Decreasing Delivery Costs:
• Objective: Aimed to minimize logistical expenses without compromising delivery times.
• Approach: Utilized predictive modeling and optimization algorithms to analyze delivery routes, vehicle loading strategies, and scheduling efficiency.
• -Project on Increasing Profit Margins:
• Objective: Sought to enhance profitability through optimized pricing strategies and cost management.
• Approach: Developed and implemented a dynamic pricing model based on market demand, competitor pricing, and cost analysis.
• - Survival Analysis Project:
• Objective: Conducted survival analysis to understand customer churn and lifetime value.
• Approach: Applied Cox Proportional-Hazards Model to customer data, identifying key factors influencing retention and lifetime value.

• Utilize statistical techniques and data analysis tools to analyze complex datasets to Extract actionable insights and trends from data to support decision-making processes.
• Collaborate with stakeholders to understand business objectives and translate
• them into analytical requirements and develop and maintain data models, databases, and reporting systems to ensure accurate and reliable data analysis.
• Automate data collection, cleaning, and processing tasks to streamline workflows and reduce manual effort and Identify opportunities for process improvement and implement solutions to enhance data analysis efficiency.
• Conduct exploratory data analysis and data mining to discover patterns, correlations, and trends and Communicate findings and recommendations clearly and effectively to both technical and non-technical stakeholders.

Projects:

• Shelving (Project Owner & Analyst):

-Spearheaded a project aimed at optimizing warehouse space across the network

.-Successfully implemented innovative shelving solutions resulting in a remarkable

17% reduction in space utilization across our warehouses.

• Productivity (Project Owner & Analyst):

-Led an initiative focused on enhancing worker productivity within the organization.

.-Utilized data-driven insights to develop and implement targeted interventions, resulting in a notable 7% increase in overall worker productivity.