Leila Masimli

• Aufbau einer ETL-Pipeline in AWS zur Datenintegration aus verschiedenen Quellen für Business Intelligence Lösungen. • Enhanced data retrieval through Neo4j Cypher queries, achieving a achieving a 30% improvement in query efficiency, translating to a 20-hour monthly reduction in data processing time • Implemented a logistic regression model with Scikit-learn for sensor classification, attaining a 92% accuracy rate and reducing search time by 25% •

• Conducted a comprehensive analysis of vending machine performance and item placement strategies, providing valuable insights to enhance operational efficiency • Streamlined reporting processes using Python Pandas/NumPy, resulting in an 8-hour weekly reduction in manual efforts • Developed an engaging Power BI dashboard, utilizing SQL-processed data to monitor pr

• Implemented data-driven email and SMS campaigns utilizing HTML and Microsoft CRM tools, significantly enhancing customer interaction • Conducted thorough analysis of ECommerce traffic via Google Analytics to craft targeted promotions, resulting in a 15% increase in online sales • Refined email campaigns through A/B testing and personalized content sections, leading to additional revenue growth