Manage databases, ensuring data integrity, and play pivotal role in generating insightful reports and data visualizations with 40% impact on data-related tasks, contributing significantly to strategic decision-making
Define software needs and requirements, utilizing tools like JIRA and Confluence to document user stories and facilitate effective communication
Reduce manual data entry errors by automating routine tasks using SQL scripts and ETL tools
Design customized data collection models for specific visualization tasks
Streamline reporting processes for increased efficiency and accuracy with development of custom dashboard
Actively participate in data governance, ensuring compliance with regulations and best practices, with 20% impact on data security implementation
Engage in complex system integrations and troubleshooting, addressing issues promptly, targeting continuous improvement efforts, like adopting emerging technologies and refining processes, contributing to 15% overall impact
Data Engineer
Qualitest (Supporting Google)
12.2021 - 03.2023
Collaborated with stakeholders to gather and document business requirements, ensuring clear understanding of project objectives and deliverables
Conducted data analysis, resulting in 15% increase in algorithm accuracy and search functionality
Utilized SQL, Python, and Google Apps Script to extract and manipulate data for analysis and reporting purposes
Identified emerging trends in user search behavior, providing insights for informed decision-making and driving product enhancements, resulting in 25% increase in user engagement
Investigated and debugged issues, leading to significant reduction of 30% in system errors and improved overall performance
Identified gaps in existing tools and proposed enhancements, resulting in 10% increase in efficiency and productivity
Prepared and presented reports and findings to stakeholders, providing actionable insights for strategic decision-making
Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability
Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting
Streamlined complex workflows by breaking them down into manageable components for easier implementation and maintenance
Digital Hub Intern
(ADviCE), University of California, San Francisco
06.2021 - 12.2021
Collected and entered data about digital health software applications into existing database, generating in 20% improvement in data accuracy
Created reports and prototyped package insert ideas, which led to 5% increase in team efficiency
Evaluated troubleshooting database and data entry tools and contributed to 25% reduction in data entry errors
Partnered in facilitating informed decision-making for digital health initiatives, resulting in 10% increase in successful project implementations by utilizing various industry databases to gather crucial insights
Gained hands-on experience in various software programs, increasing proficiency and expanding technical skill set
Data Visualization Teaching Assistant
University of California, Davis
01.2020 - 08.2021
Conducted Excel labs for 50 students for Data Visualization course, resulting in 90% satisfaction rate and 95% pass rate
Guided students in creating pivot tables and charts, resulting in 25% improvement in summarizing and visualizing data
Taught probability distributions and sampling techniques, resulting in 20% improvement in understanding and application
Facilitated understanding of group comparison techniques, resulting in 15% improvement in comparing groups and understanding relationships
Taught correlation and regression techniques, resulting in 15% improvement in understanding and visualizing relationships
Emphasized effective data visualization, resulting in 25% improvement in creating impactful visualizations and communicating insights.
Collaborated with fellow teaching assistants to create consistent and supportive learning environment for students
Data Analyst
Seneca Family of Agencies
07.2016 - 08.2017
Analyzed large client databases using SQL, resulting in 20% improvement in data quality
Designed and maintained tabular data models, which led to 15% reduction in data redundancy
Integrated multiple sources of disparate data into cohesive datasets using ETL processes, improving overall analytic capabilities
Facilitated evidence-based decision-making, resulting in 10% increase in program effectiveness by producing reports with detailed narrative and graphics for program directors
Generated 25% improvement in data accuracy and timeliness by resolving data management issues and identifying and resolving data queries and discrepancies.
Utilized data visualization tools such as Power BI and Tableau to effectively communicate business insights
Upheld security and confidentiality of documents and data within area of responsibility