2026 - 2027 Purdue University Career Success Handbook

Sandra Science Chicago, IL | (773) 800-1000 | sandtra.science@gmail.com | www.linkedin.com/il/science26 | Github

EDUCATION Purdue University | College of Science

May 2026

Bachelor of Science in Data Science, Applied Statistics, Economics

GPA: 3.92/4.0

Minors in Management, Math Awards: Purdue Emerging Leaders Science Scholars Scholarship, Purdue Department of Statistics Outstanding Student Scholarship, Virgil Anderson Scholarship, Alan and Sharon Levy Scholarship

EXPERIENCE Ware Lab - Neighborhood Socioeconomic Analysis Research Intern

Aug 2022 – Present

West Lafayette, Indiana

Reducing Neighborhood Transience: Analyzing Socioeconomic Diversity and Property Conditions

● Analyzed Lafayette neighborhood data (Python, Tableau, R) from multiple sources ● Created a Tableau heat map of property conditions and socioeconomic indicators, identifying factors driving high transience ● Enabled targeted policies that reduced Northern Lafayette transience by 20% and improved community development funding allocation PwC - Investigations and Forensics Analytics Consulting Intern Jun 2025 – Aug 2025 Document Authentication ETL Pipeline & Global Tax Compliance Dashboard Los Angeles, California ● Designed and implemented an ETL pipeline to process client-submitted documents via API (PySpark, Python, SQL) storing authenticated data in an internal SQL database for product integration ● Developed a Power BI dashboard (DAX, Power Query) to track global tax compliance of law firm partners, providing clear Melbourne, Florida ● Increased convolutional neural network (Tensorflow, Pytorch) accuracy in classification by 30% through hyperparameter tuning and optimizing the training dataset ● Improved model performance and more accurate predictions of glacier outlines in satellite imagery ● Utilized Python to develop advanced border filtering methods over hundreds of gigabytes of glacier imagery data, resulting in a 40% increase in image segmentation accuracy and significantly enhancing overall model performance ● Researched and developed an optimized deep learning model for segmenting glacier boundaries using Landsat satellite imagery ● Improved classification accuracy of glacier pixels by up to 4% over existing published methods, enabling more precise analysis of glacier retreat over time visibility into payment status across jurisdictions and reducing manual review time by 35% Florida Institute of Technology - Statistical Modeling Applications to Geoscience Intern Impacts of Patchification on Deep Learning Techniques for Glacier Image Segmentation May 2025 – July 2024 Full-Stack Application Development West Lafayette, Indiana ● Developed a full-stack, multi-user restaurant review application using Python (Flask, SQLAlchemy ORM) and JavaScript (Node.js) with a SQL database ● Implemented stored procedures to optimize queries and providing real-time analytics on user activity and restaurant performance Glacier Image Segmentation and Error Analysis May 2025 – July 2024 Impacts of Patchification on Deep Learning Techniques for Glacier Image Segmentation Melbourne, Florida ● Utilized Python to develop a deep learning pipeline for segmenting glacier images, including patchifying, predicting segmentation masks, and applying selective mode filtering to enhance results ● Implemented error analysis techniques to evaluate segmentation quality, providing metrics such as Total Pixel Error, Mean Squared Error (MSE), and Root Mean Squared Error (RMSE) ACTIVITIES Purdue Chinese Performing Arts Troupe Director, Chinese Traditional Dance Instructor, Higher Ground Dance Company TECHNICAL SKILLS Python, R, Java, Tableau, PowerBI, Deep Learning (Tensorflow/Pytorch), SAS, SQL, Linux, Neo4J, JavaScript PROJECTS Restaurant Review App Jan 2025 – May 2025

SAMPLE RESUME

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