Resume
Experience
Download Resume2022 - Present
Data Analyst
Gummicube
Remote
I executed all Junior Business Analyst responsibilities, supported fellow data analysts in leveraging SQL within BigQuery, implemented a seasonal autoregressive analysis model to predict app download patterns, and diagnosed issues within the semi-automated data pipeline utilizing Python. Additionally, I played a key role in developing a predictive model leveraging historical data to forecast upcoming trends in app downloads.
2021 - 2022
Jr. Business Analyst
Gummicube
Remote
As a Junior Business Analyst at Gummicube, I communicated directly with internal stakeholders to provide actionable insights from analyzed data. My responsibilities included generating dashboards and visualizations using tools such as Power BI, Google Looker Studios, Google Sheets, Python, and Excel. I conducted data cleaning, aggregation, transformation, and extraction within diverse tools and cloud-based architectures. I also performed ad-hoc reports and queries, utilizing statistical tools to identify trends and derive insights from mobile app datasets. Additionally, I contributed to the development and maintenance of a data warehouse within a cloud-based architecture.
2021 - 2021
EDI Analyst
Nelson & Kennard
EDI Analyst
In the role of EDI Analyst at Nelson & Kennard, I automated EDI processes in Excel using VBA and Power Query and managed client data liaison. I played a key role in resolving issues affecting data and file transfers, ensuring seamless operations. My responsibilities included translating data to align with both business and client needs through technical solutions. I also managed and maintained electronic data interchange (EDI) file systems, ensuring data integrity. Additionally, I validated, cleaned, and efficiently imported/exported data to meet clients' standards.
Education
2020 - 2022
Seattle Pacific University
Seattle, WA
Master's of Science
Data Analytics in Business
Relevant Coursework: Decision Making with Business Intelligence and Analytics, Data Mining, Data Visualization, Database Management, Information Systems Management, Marketing Analytics, Programming for Data Analytics: Python and R, Ethics, Knowledge Management and Business Intelligence, Leadership.
2016 - 2020
Seattle Pacific University
Seattle, WA
Bachelors of Arts
Psychology
Relevant Coursework: Social Psychology, Behavioral Neuroscience, Research Methods, Cross-Cultural Psychology, Statistics, Learning and Behavior.
Professional Skills
Data Visualization
Statistical Analysis
Data Storytelling
Dashboard Design
Data Modeling
Database Management
Cloud Data Warehousing
Machine Learning
Technical
Python
SQL
R
Tableau
Google Cloud Platform
Google Workspace
Microsoft Office Suite
Power BI