• Applied SQL for in-depth data analysis, examining large datasets to identify trends and insights. Leveraged key performance indicators (KPIs) to measure campaign success and marketing performance. Resulted in a 15% increase in customer engagement and a 10% growth in conversion rates through data-driven recommendations• Designed and automated an ETL pipeline to extract campaign data from Meta and Google Ads APIs into PostgreSQL, optimizing storage for analytics and enabling streamlined reporting. Scheduled weekly data processing jobs with Google Cloud Scheduler and created interactive Tableau dashboards to track KPIs, driving a 20% increase in marketing efficiency.• Developed interactive Tableau dashboards to visualize and consolidate data from various sources and web traffic data. Integrated click-through rates (CTR), conversion rates, bounce rates, and engagement metrics into the dashboards, utilizing calculated fields, dynamic parameters, and custom metrics to support social media and web analytics initiatives. Improved report visibility and accessibility, reducing reporting time by 15%, and providing timely insights for stakeholders• Analyzed and extracted key trends from customer feedback and behavioral data using Python for data cleaning, aggregation, and statistical analysis. Used numpy for efficient numerical operations and calculations to identify patterns and correlations. Collaborated with the marketing team to implement improvements, resulting in a 10% increase in customer satisfaction and a 12% boost in retention through data-driven strategies• Identified high-impact campaigns that contributed to a 20% boost in engagement.Improved ROI on ad spend by 10%, reallocating resources effectively to high-performing campaigns.

• Contributed to data clean-up operations by standardizing data entry practices and removing duplicates. Utilized Excel functions to identify and eliminate inconsistencies in data. Improved data accuracy by 12%• Implemented comprehensive Tableau reports to visualize key marketing metrics. Applied advanced data visualization techniques and integrated data from SQL databases to create dynamic, actionable reports. Resulted in a 10% uplift in campaign performance• Optimized database queries to improve data retrieval speed and processing efficiency. Executed advanced PostgreSQL optimization techniques such as indexing, query optimization, and partitioning to streamline data extraction for campaign analysis. Enabled more efficient campaign analysis and contributed to enhanced customer engagement by improving the speed and accuracy of data-driven insights• Examined data from web traffic, mobile app usage, and marketing campaigns to understand customer behavior. Utilized Excel (VLOOKUP, Pivot Tables) for data processing and analysis of diverse datasets, generating actionable insights. Supported strategic decision-making and optimized marketing strategies by delivering data-driven recommendations through dynamic dashboards and reports

• Designed and implemented user-friendly front-end interfaces for restaurant menus. Integrated new features and optimized the UI/UX, ensuring seamless functionality and accessibility. Improved customer experience by providing intuitive, easy-to-navigate interfaces, contributing to higher user satisfaction• Determined necessary updates across the full database structure by conducting a comprehensive review. Analyzed the database architecture to identify inefficiencies and inconsistencies, and recommended modifications to enhance data management and consistency. Improved overall data integrity and streamlined data management processes