Haley Wilkinson Email & Phone Number

Seattle, Washington, United States

Auburn Hills, Michigan, United States

Seattle, Washington, United States

• 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.
• 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.

Auburn Hills, Michigan, United States

• 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.
• 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.