Spring Smith, M.S. Email & Phone Number

Chicago, Illinois, United States

Dallas, TX, US

• Owned the end-to-end lifecycle of a fraud detection machine learning model, including truth set generation, model development, monitoring, feature exploration, and performance evaluations, operating at a scale of.
• Improved model performance through new feature development and training configurations, increasing AUC-PR by 118% and increasing challenger model deployment frequency by 300%.
• Enhanced monitoring and reporting with advanced Databricks dashboards, including a custom automated external delivery method presented at the AT&T Data Science Summit, streamlining insights for stakeholders.
• Streamlined workflows and improved data accuracy, raising fraud case-to-model log match rates from 91% to 99.5% and resolving 20,000+ data inconsistencies.
• Supported fraud mitigation efforts with exploratory analysis, rule development, and ad-hoc analytics, empowering the Fraud Response Team to address emerging threats effectively.
• Onboarded and delegated feature testing and model generation tasks to junior data scientists.

Dallas, TX, US

• Executed data engineering tasks for a user access automation platform, integrating IAM and HR systems to pre-approve access rights for 500,000+ users, reducing manual effort by 750,000+ approvals through automation.
• Optimized data workflows, cutting batch processing time by 99% and enhancing system efficiency and scalability.
• Developed front-end functionality in R-Shiny to optimize user engagement and support streamlined processes.
• Conducted extensive testing and analysis to identify user patterns and optimize groupings for access packages, ensuring alignment with the principles of least privilege to enhance efficiency and accuracy.
• Member of organization-wide Employee Engagement Action Team, driving initiatives to enhance workplace culture and employee satisfaction.

Dallas, TX, US

• Designed and implemented a customer classification machine learning model to segment 14.2M customers into target personas, empowering marketing teams to tailor strategies and align offerings with customer buying.
• Streamlined and automated critical monthly reports by re-writing queries and developing a Power BI dashboard, improving efficiency by 95%, reducing manual errors, and delivering executive-level insights for thousands.
• Member of Business Marketing Data Council to build positive connections across the organization through a common interest of data
• Winner of Business Intelligence organization logo design contest

Dallas, TX, US

• Developed and implemented a real-time machine learning anomaly detection system to monitor 17 billion events per day, ensuring data integrity, alerting on unexpected deviations, and enabling accurate capacity.
• Leveraged clustering techniques to analyze and categorize data streams, identifying and managing similar behavior patterns, and created high-level statistics and visualizations for leadership to highlight usage trends.
• Collaborated on the migration of tens of billions of events from on-prem to Azure, designing partitioning and indexing schemes, evaluating ETL solutions, and optimizing file formats for efficient ingestion.
• Built an Azure monitoring dashboard for resource management and streamlined processes by developing a SharePoint workflow to handle customer requests for rehydrating archived data, improving operational efficiency.

Dallas, TX, US

• AT&T's Technology Development Program (TDP) is a full-time, three-year program with a 4% acceptance rate for STEM graduates to launch their careers in technical roles at AT&T.Rotation 2: Chief Security Organization.
• Designed and implemented interactive micro frontends with custom query controls in Angular using TypeScript and Vega-Lite, enabling real-time data analysis for 100+ data feeds in a no-code environment; collaborated.
• Analyzed datasets using Python, R, and Power BI to detect anomalies and trends, creating innovative, interactive visualizations and dashboards to help internal customers make data-driven decisions; explored and.
• Routinely performed micro-frontend demos to new internal business customers.

Dallas, TX, US

• AT&T's Technology Development Program (TDP) is a full-time, three-year program with a 4% acceptance rate for STEM graduates to launch their careers in technical roles at AT&T.Technology Development Program - Rotation.
• Spearheaded the development of a WordPress site for hosting processes and resources, enabling 4,000+ employees to deliver seamless customer support; responsibilities included wireframing, building website pages.
• Standardized ticket data entry to identify trends by collaborating with call center supervisors, developing a data entry template, and monitoring performance, increasing compliance in the target fields from 33% to 96%.
• Conducted in-depth analysis of trouble ticket data, identifying 12% of customers driving 50% of worked hours, and collaborated with area directors to address chronic issues, reducing operational inefficiencies.

Atlanta, Georgia, US

US

Purchase, New York, US

Dalton, GA, US

Master Of Science - Ms, Data Analytics

Bachelor Of Science - Bs, Industrial And Systems Engineering