▪ Engineer targeted prompts for an LLM to generate functional code blocks.▪ Critically review Python and SQL code produced by LLM.▪ Write Python & SQL code to correct bad responses produced by the LLM.▪ Evaluate and rate performance of other trainers, using a detailed rubric.

• Designed and built ETL/ELT processes that integrate data from several sources for use in reporting using AWS S3 buckets, DOMO Workbench (ETL), and Azure (business data), PostGRE (project data).• Built dashboards used by developers to monitor performance of proprietary ML tools, ensuring that a 90% fill rate is achieved by the system.• Created data sets based on text message conversations, to feed a dashboard that enables prompt correction of over 95% of conversational errors.• Integrated data from several services to build a phone and update tracking tool, which located and elicited updates of over 80% of the non-compliant phones in the first month after implementation.• Aggregated time series data to show hourly patterns over a day, daily patterns over a month, etc. of Workday tracking more than 40,000 shifts per week.

• Created and maintained hundreds of denormalized BI & reporting views in Snowflake that provide data for use in dashboards, built on claims tables adding > 500,000 new records per week, call center data handling 100’s of calls per day.• Designed, built and maintained a call center dashboard that integrated data from Salesforce, Avaya and other sources to track individual and team performance, call reasons, and frequency of calls based on demographic criteria.• Built and maintained Marketing, Claims and Operations dashboards using DOMO and Power BI.• Rebuilt dozens of Tableau dashboards in DOMO as part of a migration from DB2 to Snowflake.• Wrote documentation for reporting, dashboards and Snowflake views, aligned with organizational best practices.

• Built sales performance dashboards for cafeteria and vending outlets using Power BI.• Used SSRS to generate weekly Excel reports for smaller and franchised businesses.• Developed automated quarterly customer satisfaction reports to University cafeteria vendors, sourcing data from Azure database using VBA scripts and Excel spreadsheets.• Wrote Python scripts to quantify aspects of written responses to customer satisfaction surveys.

▪ Received and validated data from restaurants, used in the development of an at risk locations tool.▪ Wrote and ran VBA macros to ensure that input data matches expected logic and formats.▪ Collaborated with developers to test and QA the locations tool.

▪ Provided wholesale sales reporting & analysis.▪ Designed report documents to accurately match customer requirements.▪ Reported weekly sales and promo activity to all vendor clients and internal executives.▪ Gathered requirements to facilitate product specific progress reports.