Experience

• 

  The ups store

  Mar 2019 - Apr 2022

  Determined key profit centers with potential for revenue growth Lead projects for service expansion and procedure adjustment Developed software tools to improve customer handle time and efficiency Provided backend technical and network support Managed three UPS Store customer service centers Fielded, interviewed, hired, and trained new employees Performed notary services Managed inventory systems and processes

  • Process Improvement Manager

    Sept 2020 - Apr 2022

  • Area Manager

    Mar 2019 - Sept 2020
• 

  Awardco

  Apr 2022 - Jul 2024

  Automate processes by creating data flows and ETL pipelines Work with cross-functional teams to provide robust and informative analysis of sales data andproduct usage dataCreate and approve new cards and dashboards in Domo and other BI toolsCreate and train data models in R and Python for prescriptive and predictive analytics Performed advanced queries in a SQLServer database, SalesForce, Jira, Oracle NetSuite and other internal systemsCreated data visualizations in Domo and other BI toolsPerformed research and analysis to increase efficiencies and identify areas of revenue expansion (Revenue Operations)Created and trained data models in R and Python for prescriptive and predictive analytics Managed the receiving of inventory items for shipment Analyzed data to determine inventory trends and areas in need of process adjustment Built database reports to assist with data warehousing and inventory forecasting

  • Data Analyst I

    Nov 2023 - Jul 2024

  • Junior Data Analyst

    Nov 2022 - Nov 2023

  • Inventory Logistics Specialist

    Apr 2022 - Nov 2022
• 

  Seis

  Jul 2024 - now

  Analytics engineer

  Design and implement production-grade dbt models to support key business use cases.Build reusable datasets for self-serve reporting in Tableau, directly linked to Snowflake.Contribute to ML initiatives aimed at identifying fraud signals and predicting payment behavior, including surfacing model outputs in reporting layers.Translate stakeholder questions into scalable analytics and decision-ready data products.Ensure data quality, documentation, and reusability across the analytics ecosystem.Create and maintain dashboards and visualizations in Tableau and other BI tools. Show less