In this project, I developed a Google Ads performance dashboard in Looker Studio that visualizes key digital marketing metrics such as impressions, clicks, click-through rate, conversion rate, and advertising costs. The dashboard includes campaign- and device-level breakdowns, allowing users to analyze performance across channels and platforms. Through these visualizations, stakeholders can quickly identify trends, evaluate campaign effectiveness, and make data-driven decisions to optimize advertising spend and improve overall marketing results.
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This Power BI dashboard provides a comprehensive overview of key business metrics, including cost, profit margin, top-performing salespeople, and best-selling products. Designed with a variety of visuals to enhance data understanding, the dashboard features.The dashboard is interactive and user-friendly, allowing users to filter data by specific time periods, regions, or product categories. This enables actionable insights into cost management, profit optimization, and strategic decision-making regarding sales and product focus.
In this project, I utilized a lightning dataset to create a Tableau dashboard that visualizes changes in lightning activity over the years. The dashboard includes several U.S. maps, allowing for geographical analysis of lightning trends across different regions. Through these visualizations, users can easily track patterns and shifts in lightning occurrences, providing valuable insights into how lightning activity has evolved over time.
For this project, I received a dataset on net migration and developed a new table using Excel and formulas to enhance the data's analytical depth. Using Tableau, I designed and developed interactive dashboards and worksheets to provide key insights on how net migration influences GDP growth in both developed and developing countries. The visuals also explore the relationship between net migration and unemployment rates across different regions, its predictive impact on changes in GDP per capita and unemployment rates over the past two decades, and whether net migration affects the gender distribution of the labor force. In addition to addressing these key questions, I conducted further analysis to uncover additional insights from the dataset.
upwork_dashboard.pptxminessota_publictrasnportation.pdfFor this project, I used data from Minnesota public transportation to create a Tableau dashboard focused on analyzing traffic patterns on highways. The dashboard identifies the best days for scheduling maintenance by highlighting historical traffic trends and pinpointing the days with the highest traffic volumes. This tool helps transportation planners track optimal periods for conducting programmed maintenance and renewals, minimizing disruption while ensuring highway upkeep.
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