Saray Ruiz

Data Analytics graduate with a strong foundation in statistical analysis, data visualization, adept at utilizing programming languages and tools such as Python, SQL, Tableau, and Excel to manipulate and analyze data. 6+ years of experience in customer service skilled in providing clear and concise information, both verbally and in writing. Committed job seeker with a history of meeting company needs with consistent and organized practices. Skilled in working under pressure and adapting to new situations and challenges to best enhance the organizational brand.

Merit America, Google Data Analytics Certificate, 08/2023, Cultivated skills in the collection, transformation, organization, and visualization of data to draw conclusions, make predictions, and drive informed decision-making. Completed hands-on work and capstone project by asking questions as well as preparing, processing, analyzing, visualizing, and acting on real-world data scenarios.

• SQL Data Exploration Project 06/2023, Cleaned and analyzed a dataset on daily times as a dog walker statistics/other in Microsoft SQL Server/other, creating views with data subsets to analyze specific variables [insert growth/change over time, etc.]. Imported views to Microsoft Excel/Google Sheets to clean and format data for use in visualizations. Created various visuals in Tableau, including bar charts, line graphs, and a map chart/other visuals, to display data conclusions, then compiled them into an interactive dashboard.
• Data Analytics Capstone Project [HYPERLINK PROJECT], Google Data Analytics Professional Certificate, Virtual, 06/2023, Imported x Excel datasheets with millions of entries into R, then used tidyr package to clean datasets and prepare for analysis. Joined all of the datasets together, created data subsets, and converted each attribute to the proper data type before performing analysis to find differences between members and casual customers [insert your variables]. Developed visuals using the ggplot2 package, including scatterplots/other, to display analysis results and provide meaningful conclusions and recommendations for stakeholders to review.