• Implemented Data-Driven Marketing Strategies: Managed marketing budgets, optimizing resource allocation through data analysis for efficient fund utilization.• Engaged Leadership for Support: Persuaded the owner and CEO to endorse marketing initiatives by presenting data-driven insights and illustrating the benefits of data-informed decisions.• Aligned with Business Objectives: Collaborated across departments to synchronize marketing strategies with overall business goals, identifying… Show more • Implemented Data-Driven Marketing Strategies: Managed marketing budgets, optimizing resource allocation through data analysis for efficient fund utilization.• Engaged Leadership for Support: Persuaded the owner and CEO to endorse marketing initiatives by presenting data-driven insights and illustrating the benefits of data-informed decisions.• Aligned with Business Objectives: Collaborated across departments to synchronize marketing strategies with overall business goals, identifying key opportunities through data analysis increasing overall productivity by 8%• Developed Advanced Tracking Algorithm: Created a sophisticated tracking algorithm, providing in-depth campaign insights across platforms, including demographics, locations, ages, and genders.• Executed Data-Driven Campaigns: Leveraged tracking algorithm data to craft targeted marketing campaigns, tailoring messages to specific demographic segments.• Formulated SQL Queries: Improved database performance by 31% on MySQL and Microsoft SQL Server platforms, streamlining cross-platform data integration• Designed Engaging Front-End Interfaces: Utilized HTML and CSS to create captivating user interfaces, enhancing user experience and engagement. 36% overall improvement• Generated Dynamic Web Applications: Harnessed PHP to seamlessly integrate user interfaces and back-end databases, exemplified by the creation of a robust data tracking system for in-depth user behavior analysis.• Visualized Data with Impact: Employed Tableau and Power BI to create compelling data visualizations, aidingclients in making data-driven decisions for organizational improvement. Show less

Using SQL to extract data from the database and Pandas for data cleansing and pre-processing, we can better understand the data, automate the processing of the data, and evaluate the performance of the model to select an optimal model.Implementing the right data analytics for a retail business has led to effective improvement:Increased revenue by 15% and reduced operational costs by 10% through strategic planning and executionAchieved a 20% improvement in employee… Show more Using SQL to extract data from the database and Pandas for data cleansing and pre-processing, we can better understand the data, automate the processing of the data, and evaluate the performance of the model to select an optimal model.Implementing the right data analytics for a retail business has led to effective improvement:Increased revenue by 15% and reduced operational costs by 10% through strategic planning and executionAchieved a 20% improvement in employee retention by leading and developing a team of 50+ staffReduced food and beverage costs by 12% by implementing inventory management systems and cost-control measures while maintaining high-quality standardsMaintained a 95%+ guest satisfaction rating through service enhancements and customer feedbackMaintained a clean, safe dining environment and ensured full compliance with health and safety regulations, resulting in zero violations during routine health inspections Show less

Taking on more massive data as well as being responsible for processing large data, extracting valuable insights, designing data architectures while also ensuring data quality, and creating visual reports.

Source data from internal sources such as CloudWatch, S3, Redshift... Extract data for processing and cleansing, as well as ensuring data accuracy and completeness. Improve operational excellence and efficiency at the same time