- ABOUT MEHello! I'm Brendan Keaton. As a University of Virginia graduate with a Computer Science degree and Data Science minor, I have a powerful combination of fullstack development and data science skills. My experience tackling complex data sets across three data analyst roles has honed my ability to extract actionable insights through advanced visualization techniques and statistical analysis. I thrive on exploring new technologies, continuously innovating through personal projects and staying ahead of industry trends.
- PROJECTS
PROJECTS
EXPERIENCE
Fullstack DeveloperResonite Development LLC
Oct 2023 - July 2024 (Remote)As one of the first hires at Resonite, I was a key fullstack developer since the company's early days. This unique position has given me insight into the intricacies of business operations from the ground up. I've taken full ownership of client projects, guiding them through the entire development lifecycle - from initial concept to polished final product. My hands-on experience spans all aspects of software development and client management, making me adept at turning ideas into reality while navigating the complexities of a growing business.- React
- Vercel
- Git
- Next.js
- GoLang
- TailwindCSS
- Jira
- Figma
- Web Design
- UI/UX
- R
- Typescript
- Framer Motion
- HTML/CSS
Data Analyst InternAstraZeneca Pharmaceuticals
Jun 2023 - Sep 2023 (Wilmington, DE)At AstraZeneca, I spearheaded data automation initiatives that dramatically improved efficiency, most notably the development of a Python script for automated data extraction, cleaning, and report generation, saving over 200 hours of manual labor annually. I also leveraged the Salesforce API and DAX queries in Power BI to create dynamic dashboards, providing critical metrics that boosted efficiency across multiple teams. Another primary project focused on streamlining quarterly reporting processes, enabling data-driven decision-making and freeing up resources for more critical tasks.- PowerBI
- Salesforce
- Python
- Numpy
- Data Cleaning
- Excel
- DAX
- Data Visualization
- Pandas
Data Analyst InternVirginia State Board of Elections
Jun 2022 - Sep 2022 (Richmond, VA)At the Virginia State Board of Elections, I was asked to improve efficiency and data accuracy. To accomplish this, I first engineered an Excel script for automated daily report generation, saving the team 2 hours of manual data collection every day - equivalent to 500+ hours annually. Additionally, I leveraged ArcGIS to identify and address population data discrepancies, collaborating directly with local authorities to ensure data integrity.- Excel
- SQL
- ArcGIS
- Jira
- VBA
- Data Visualization