SARA ZENCHI
Data Analyst
Profile summary
Data Analyst with a Master’s in Business Intelligence and experience in machine learning, dashboard development, and large-scale data processing. Delivered automated analytics systems, predictive models, and performance reports that reduced processing times and improved accuracy. Proficient in Python, SQL, Power BI, and statistical analysis. Seeking to contribute to impactful data-driven projects in Dubai.
Key skills
Professional experience
• Improved lead allocation efficiency by developing coded solutions to optimize the round-robin distribution process. • Built and maintained property-related databases within the system to centralize listings, client details, and lead information. • Enhanced decision-making by analyzing property and lead data, identifying trends, and providing actionable insights. • Created mapping solutions to visualize and track lead journeys from initial inquiry to conversion. • Integrated system data with dashboards to enable real-time monitoring of property performance and lead management.
- Improved lead allocation efficiency by developing coded solutions to optimize the round-robin distribution process
- Built and maintained property-related databases within the system to centralize listings, client details, and lead information
- Enhanced decision-making by analyzing property and lead data, identifying trends, and providing actionable insights
- Created mapping solutions to visualize and track lead journeys from initial inquiry to conversion
- Integrated system data with dashboards to enable real-time monitoring of property performance and lead management
• Increased sales performance visibility by 35% by creating automated reports and dashboards to track call outcomes and conversion rates. • Reduced manual follow-up and reporting time by 25% through streamlined call logging and customer data entry processes • Developed tracking systems to monitor daily sales activity, customer inquiries, and engagement trends. • Maintained and updated a centralized customer database to support management decisions and improve response efficiency.
- Increased sales performance visibility by 35% by creating automated reports and dashboards to track call outcomes and conversion rates
- Reduced manual follow-up and reporting time by 25% through streamlined call logging and customer data entry processes
- Developed tracking systems to monitor daily sales activity, customer inquiries, and engagement trends
- Maintained and updated a centralized customer database to support management decisions and improve response efficiency
• Increased e-commerce sales forecast accuracy by 23% through machine learning models and SQL-based pipelines. • Reduced reporting time by 40% using automated dashboards in Power BI with integrated Python scripts. • Designed interactive KPI dashboards for tracking marketing conversion rates and operational efficiency. • Integrated MySQL databases with visualization tools to enable real-time analytics and monitoring.
- Increased e-commerce sales forecast accuracy by 23% through machine learning models and SQL-based pipelines
- Reduced reporting time by 40% using automated dashboards in Power BI with integrated Python scripts
- Designed interactive KPI dashboards for tracking marketing conversion rates and operational efficiency
- Integrated MySQL databases with visualization tools to enable real-time analytics and monitoring