About Me
I am Jeffrey Bennet, a computer science student at The University of Texas at Austin. I am passionate about problem-solving and using technology to make a positive impact on the world. I have a strong foundation in mathematics, iOS development, and object-oriented programming. I am also proficient in a variety of programming languages and frameworks, including Java, Python, Swift, SQL, PySpark, Azure Data Lake, Azure Data Warehouse, Databricks, AWS, Firebase, APIs, Microsoft Office, Xcode, Figma, and Git.
In my previous roles as a Data Engineering and Data Science Intern at Kelly Services and a Team Member at Whataburger, I have gained valuable experience in working with data, developing and deploying data-driven solutions, and providing excellent customer service. I am also a creative thinker and I am always looking for new ways to solve problems.
I am excited to continue my education and to grow my skills in computer science. I am also eager to find a challenging internship or entry-level position where I can use my skills to make a meaningful impact.
Skills
Experience
Education
- Programming Languages
Java, Python, Swift, SQL, HTML, JavaScript, CSS - Cloud Technologies
Azure, AWS - App Development
Designing Web/App interfaces
- 2023 - Current
Kelly Services• Utilized platforms such as Databricks to transfer csv, parquet, and delta files from platform to platform.
• Designed and optimized data models and schemas for efficient retrieval and analysis.
• Worked with Azure services, such as Azure Data Warehouse and Azure Data Lake, to orchestrate and manage data workflows.
• Extracted data from Azure Data Lake and the Enterprise Data Warehouse through databricks using python and sql.
• Collaborated with data scientists and engineers to deploy Azure machine learning models.
- 2022 - 2025
The University of Texas at Austin• Bachelor of Science in Computer Science w/ Entrepreneurship minor
