• SQL Queries (Amazon Hubble & Redshift) – Engineered Salesforce account mapping through queries using string strip matching and fuzzy string matching – 14% of primary keys matched.• Machine Learning Model (AWS Sagemaker) – Improved on the proposed solution further by proposing and engineering a probabilistic record matching machine learning model to map up to 75% of the remaining primary keys to Salesforce accounts.• Machine Learning University – Attended Amazon’s Day One, Deep Learning, Natural Language Processing, Tabular Data, & Time Series Machine Learning Courses.• Annual Sales Planning Meeting & Offsite – Facilitated the annual sales planning meeting for Amazon Ads and the project team’s offsite in New York.• Work Hand-Off – Jumpstarted the next Amazonians to take over the ongoing project to ensure no knowledge was lost.

• Price Shop – Gathered data on approximately 223,000 prices (& other fields) monthly for price setting and inventory evaluation. Cleaned and prepared data for upload using R, Python, and Excel.• Warranty Project – Analysis and visualization of warranty data and adjusted for seasonality. This data is used to analyze the rate warranty is collected on our parts over time• Shipment Project – Clean and prepare data for upload onto Tableau CRM using R. This data is used to analyze which type of parts are going to which customers in what quantities• Financial Categories Project – Clean and prepare the data for upload into Tableau CRM using Excel and R. This data is used to break down our expenses and calculate gross margin as a percentage of sales• Point of Sale Project – Use Python (Selenium Web Driver) to gather data off 5 different vendor portals and use R to clean up the data for upload into Salesforce. This data is used to track net sales in dollars and units across different years and a breakdown of change in volume of sales by part number of two selected periods• AutoZone Category Captain Project – Prepared and updated dashboard data using R and Tableau CRM. This data is used for tracking change in warranty rate, units sold, and net retail in dollars as a difference in percentage between the current year and the previous year• Dashboarding – Created and maintained dashboard applications for each project (above) on Tableau CRM• Bright Data – Worked with a third-party service to scrape 223,000+ prices monthly for the price shop project