Designed and implemented a real-time end-to-end data pipeline using Prophecy to enhance and refactor the current NGFS pipeline for the source standardization phase of the ID Graph Processing using PySpark and Kafka.
Improved debuggability, code maintainability, developer productivity, and troubleshooting by 30%.
Transformed complex Spark Scala logic by leveraging artificial intelligence and UI/UX to maintain the same functionality, with better maintainability.
80% fewer pipeline failures due to automated dependency and validation features.
Developed a script that maps Prophecy-generated code to the current system to optimize pipeline development in the future.
Undergraduate Data Science Researcher
Knudsen Institute - The Data Mine
West Lafayette, Indiana
08.2024 - 05.2025
Developed 10+ web scraping solutions using Selenium and BeautifulSoup.
Utilized robots.txt to traverse hyperlinks and retrieve further web content recursively.
Tested and compared 12 LLMs, including Meta's LLM, by prompt engineering, for more accurate data extraction.
Worked with Agile SCRUM methodology to effectively collaborate and deliver our software and data solutions.
Developed predictive models using machine learning techniques and statistical analysis tools.
Undergraduate Data Science Researcher
Beck's Hybrids - The Data Mine
West Lafayette, Indiana
08.2023 - 05.2024
Created and presented a solution to optimize seed germination and improve quality, strength, and growth by 15%.
Tackled scalability issues using database optimizations, with access to large amounts of data and information.
Excel, R, and Pandas to clean raw data in CSV files, improve data analysis, and increase efficiency by 80%.
Python and SQL to visualize and summarize the data to identify patterns and trends between variables.
Presented research findings to the committee at Beck's Hybrids through visualizations and reports.
Development Lead
InnovateHER
West Lafayette, Indiana
10.2023 - 03.2024
Led a group of 60+ girls in Purdue University's first-ever female-led STEM hackathon geared toward solving Women's issues.
Created a primary website using HTML, CSS, and JavaScript for participants to apply for the event.
Utilized artificial intelligence to create a framework for the hackathon judging processes and policies.
Developed plagiarism detection software to ensure GitHub source code repositories followed community guidelines.
Increased overall participation by 40% by extending applications to students outside of Purdue University.
Web Developer/Programming Intern
Wonder Women Tech Foundation
Long Beach, California
02.2021 - 02.2022
Started as a programming intern and was later recruited as a web development team member to manage the official company website.
Worked alongside the CEO to schedule panels and events to aid underrepresented women in STEAM industries.
Increased website user attraction by 25% using HTML, CSS, and JavaScript to create professional, user-friendly designs, and an intuitive interface.
ReactJS and Redux are used to design and build new systems and tools to let website viewers consume information faster.
Education
Bachelor of Science - Data Science and Applied Statistics
Purdue University
West Lafayette, IN
05.2026
Timeline
Data Engineer Intern
Visa
05.2025 - 08.2025
Undergraduate Data Science Researcher
Knudsen Institute - The Data Mine
08.2024 - 05.2025
Development Lead
InnovateHER
10.2023 - 03.2024
Undergraduate Data Science Researcher
Beck's Hybrids - The Data Mine
08.2023 - 05.2024
Web Developer/Programming Intern
Wonder Women Tech Foundation
02.2021 - 02.2022
Bachelor of Science - Data Science and Applied Statistics