Danielle Mannweiler Email & Phone Number

- Independently led end-to-end development of machine learning models (listed below) through the entire data science lifecycle.- Clearly presented model findings to executive teams and participated in strategy planning to drive enterprise-wide changes.- Delivered model results in PowerBI and collaborated with Executives and Individual Contributors to run pilots to measure impact.- Collaborated closely with VP and C-level executives to strategize save plans, leveraging insights from retention modeling.- Developed and deployed a tree based model to predict sales opportunities to facilitate sales’ lead identification and prioritization.- Implemented ML pipelines in Vertex AI to proactively identify performance degradation, ensuring long-term reliability and accuracy.- Mentored interns to foster creative problem-solving skills and develop machine learning solutions to solve business problems.

- Designed and built a product recommendation tool using lookalike modeling techniques, empowering the Sales Team to prioritize and target additional product sales to increase recurring revenue and customer retention.- Built Customer Complexity Model to predict new customer's support complexity to optimize support rep headcount.- Predicted support contact's profile type to tailor support experience by collaborating with customer experience and support teams.- Used classification and NLP to analyze support tickets to improve customer support experience and lower support case volume.

- Led implementation of semantic layer using git to establish data governance and enterprise data strategy to improve data usability.- Collaborated with data engineers and data architects to migrate from SQL Server to GCP Cloud and from Tableau to PowerBI.- Used historical pricing and lookalike modeling to predict optimize price increase to maximize retention and increase revenue.- Performed clustering analysis to establish buyer prospect profile to identify target audiences for marketing and sales efforts.

- Developed SQL stored procedures to analyze customer data, creating metrics for revenue, retention, usage, and satisfaction. - Built dynamic visualizations and dashboards to effectively communicate key insights and support data-driven business decisions.- Collaborated closely with executives to gather comprehensive data requirements, ensuring alignment with business objectives.- Provided exceptional customer experiences by generating prompt ad-hoc reports tailored to executive stakeholders' needs.

Weston, Fl

- Automated Fair Value Reporting for the Revenue Recognition team by developing SQL stored procedures and a SSRS report.- Collaborated with the Accounts Payable team to create expense reports, identifying expense violations and budget deviations.- Acted as the subject matter expert during the successful ERP migration and implementation from Epicor to Dynamics 365.- Conducted comprehensive statistical analysis of company spending, providing valuable insights for vendor contract negotiations.

Weston, Fl

- Addressed analysis requests by developing SQL queries to extract relevant data for decision-making purposes.- Designed and created customized SSRS reports with data-driven subscriptions, ensuring stakeholders receive real time data.- Presented analysis findings and reports to executives, effectively communicating complex data in a clear and concise manner.

- Conducted comprehensive data analysis and developed machine learning models as a part of the Predictive Analytics team.- Contributed to the implementation of a Retention Predictor in HR software, enabling data-driven talent retention strategies.- Utilized R to build a robust classification model that predicts customers most likely to release employee data to analytics team.