William Au
New Palestine,IN
Summary
Aspiring Data/Business Analyst with ample programming experience, especially in R & STATA. Natural problem-solver with the background to understand business needs, and the tools to engineer the solutions. Equipped with a thorough understanding of the Data Analysis process, seeking to turn classroom proficiency to career success.
Overview
1
1
year of professional experience
Work History
Software Engineering Intern
Vertex (V2X) / Raytheon
05.2022 - 08.2023
- Developed programming solutions for military field equipment on an AGILE software development team to fulfill government defense contracts
- Engineered test scripts to perform key actions for assurance of product functionality
- Successfully interacted with a diverse team including software developers, product owners, scrum masters, systems engineers, and people in various other support roles
- Meticulously prepared detailed planning, design, and testing documentation on a complex program.
Education
Bachelor of Science - Economics, Quantitative Economics & Data Analytics
Purdue University
West Lafayette, IN05.2024
Skills
- Strong understanding of the Data Analysis process
- Programming Experience: R, Stata, C, MATLAB, Python, Linux
- Microsoft Office Suite; Collaboration platforms: Zoom, MS Teams, Mattermost, Discord
- Collaborative work platform experience: Git, AzureDevOps
- Eager to learn, quick learner
- Experienced team player in an AGILE environment
Leadership And Involvement
- Team buyoff leader (proprietary software product)
- Purdue Intermural Volleyball team sponsor and captain
- We the People team captain - state team
- Honors Engineering and Honors College Participant (Years 1 & 2)
Community Service Volunteerism
- Gleaner's Food Bank - all roles, sorting, distributing, packaging, moving
- Weekend lunch packaging for vulnerable children
- Zion Lutheran Church volunteer- Oktoberfest Dinner, VBS leader, grounds cleaning, food service
Timeline
Software Engineering Intern
Vertex (V2X) / Raytheon
05.2022 - 08.2023
Bachelor of Science - Economics, Quantitative Economics & Data Analytics
Purdue University
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