• Utilized Power BI to generate tailored dashboards and visualizations, enabling the detection of vulnerability trends and data accuracy for management and stakeholders.

• Spearheaded data clean-up project validating existing/new vendors to ensure accuracy for data migration. • Extracted large datasets using Excel to identify and resolve duplicative vendors, invalid/missing data, and collaborated with vendors to capture correct information.• Built pivot tables and status reports to summarize and present findings of clean-up project, and effectively communicate progress to stakeholders.

• Data analysis/modeling using advanced Excel features, PostgreSQL to retrieve data from large databases• Utilized Python for data wrangling/statistical analysis, and Tableau for creating visualizations and dashboards to tell a story about dataset• Extracted and presented actionable insights that deliver business value from common data sources like Excel, CSV files, and SQL databases• Performed A/B tests, correlation testing, and used statistics to determine and evaluate confidence levels of differences and variations foundBusiness Revenue Analysis• Used Excel functions index/math and pivot tables to consolidate and analyze data• Built strategic business models that resulted in a 13% increase in revenue• Built dashboard and visualizations in Excel to present business insights and recommendationsStatistical Airbnb Price Analysis• Used Python to conduct exploratory data analysis to summarize raw csv file• Conducted inferential statistical analysis to analyze the factors and drivers of an Airbnb price listing• Tech: Google Colab, Python, Pandas, SciPy, Seaborn, Matplotlib

• Conducted audits to account for any inventory discrepancies and make necessary adjustments • Reduced shrinkage by reconciling inventory logs to identify theft and miscategorized items• Excellent customer service skills with a team-oriented nature demonstrated by being awarded associate of the month and quarter various times