Business Intelligence

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Not specified
Work schedule
Full Time, Contract, Part Time,
Language skills
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About me

Data professional familiar with gathering, cleaning, and organizing data for use by technical and non-technical personnel with valuable and actionable data to drive profit growth. Keen to support business growth by leveraging intelligence assets to predict and reveal optimal business strategies. Highly organized, motivated, and diligent with a significant background in healthcare and manufacturing.

Professional area


09/2020 - 06/2021 Applied Data Science for Business, Master of Science (MS) @ Portland State University
01/2019 -04/2020 Business Intelligence and Analytics, Graduate Certificate @ Portland State University
09/2009 - 06/2013 Information Technology – Systems Analysis, Bachelor of Science (BS) @ Oregon institute of Technology


10/2021 - 06/2023 Senior Analyst (Bus) – Data and Analytics @ North Highland

• Facilitated Scrum framework – sprint planning, backlog grooming, daily scrums, sprint reviews, and sprint retrospectives.
• Explained data results and discussed how best to use data to support project objectives.
• Analyzed complex data and identified anomalies, trends, and risks to provide useful insights to improve internal controls.
• Designed advanced analytics ranging from descriptive to predictive models to machine learning techniques through R, SQL/SSMS, Tableau, and Alteryx.

06/2020 - 07/2021 Technical Consultant @ VanderHouwen (Client: Panther Systems)

• Collaborated on stages of the systems development lifecycle from requirements gathering to production releases with Azure DevOps.
• Built parameterized reports involving Sub Reports, Matrices, Expressions, and Graphs using SSRS and Crystal Reports.
• Converted 300 Crystal Reports to SSRS.
• Migrated, revised, and produced 93 stored procedures and 37 functions to a new database in SSMS.
• Collaborated with system architects, design analysts, and others to understand business and industry requirements.
• Worked with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability, and performance.

09/2019 - 04/2020 Senior Analytics Developer @ Orchestra Software

• Established effective workflows and best practices, mentored team members, and facilitated training for internal staff and customers.
• Collaborated with clients to develop analytical solutions through SSMS, Crystal Reports, Data Extracts, AWS, and Excel dashboards using DAX and Power Pivot.
• Implemented an agile environment using Jira and Git with Source Tree and Bitbucket.
• Developed and implemented performance improvement strategies and plans to promote continuous improvement.
• Designed and implemented effective database solutions and models to store and retrieve data.
• Updated old code bases to modern development standards, improving functionality.

12/2016 - 07/2019 Analytics Developer @ PeaceHealth

• Analyzed data in enterprise-wide systems in Healthcare for Epic DataModules, Ambulatory, EpicCare Inpatient, and ASAP.
• Built and deployed data visualizations, ad-hoc reports, and report schedules/subscriptions using SSMS, SSRS, Tableau, EPIC, CrystalReports, and SAP BusinessObjects InfoView.
• Extracted data from internal data warehouses and source systems to develop comprehensive operational and clinical performance measures, leading to 10 – 20% efficiency improvement.
• Built HCC tables to map HCC codes in SSMS and provided analytical solutions on HCC data.
• Analyzed financial data to identify trends and patterns that could increase the organization’s revenue.

10/2014 - 12/2016 Data Analyst @ The Vancouver Clinic

• Developed operational and analytical reports, dashboards, security classes, and dashboard components through SQL/SSMS, Crystal Reports, and EPIC.
• Collaborated and implemented two EPIC upgrades.
• Implemented business intelligence solutions to increase operational efficiency.
• Use statistical methods to analyze data and generate useful business reports.
• Identified, analyzed, and interpreted trends or patterns in complex datasets.
• Built and reported the annual Uniform Data System (UDS) and MeaningfulUse data.

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