Amelia Bell

Collaborate with multiple teams in Operations to analyze and evaluate manufacturing data and processes for root cause analysis, anomaly detection, and utilization of automation. Create models and automation projects to improve efficiency of regular tasks.

Started data science team: managed and lead data scientist providing guidance on projects including model selection, project management, and storytelling of results delivery. Onboard and implement usage of DataRobot's machine learning platform for use in time-series models, anomaly detection, and experimental modeling.

S&OP process: maintaining and developing models that incorporate sales and marketing projections to produce a consensus forecast through Python and DataRobot's time-series machine learning models, choosing best models based on performance and thresholds for noise. Present results and updates to leadership.

Develop custom summary metric and reporting to evaluate quality of product, based on SPC and volume data, weighted on importance of calculation components. Create and implement processes and reporting to improve efficiency and communication across multiple areas of the business.

Work closely with Area and field leadership to ensure execution of pricing and revenue strategies, promoting increased profitability and competitive advantage. Prepare monthly forecast for price increases, and analyze month end results for revenue management areas including pricing, fees, credits, service revenue, etc.

Act as business partner and resource to 46 Business Units, working closely with Area Presidents, Sales Managers, and Controllers at both the area and business unit level. Execute revenue and price increase strategies for regional portfolio.

Work as merchant-facing analyst, performing pricing tests. Played a pivotal role in the Clearance Optimization Project, tasks included project management, preparing weekly presentations for status updates to upper management, etc.

Work as merchant-facing analyst, performing pricing tests. Additional responsibilities included being subject matter expert, data validations utilizing SAS codes, testing of algorithm, and deep-dive analyses.

Intern on the Pricing Analytics Team.

Intern on the Enterprise Business Intelligence Team.

Provided administrative support.

Provided part-time assistance.

Completed Technology Leadership certification from Cornell University in April 2023.

Master of Science in Analytics from Georgia Institute of Technology, completed in December 2021.

Bachelor of Science in Applied Mathematics from Georgia Institute of Technology, completed in May 2012.