Tucker Trost

📞 (971) 420-5397 | 📧 tuckertrost16@gmail.com
🔗 LinkedIn | 🌐 tuckertrostbyui.github.io

EDUCATION

Bachelor of Science, Data Science
Brigham Young University - Idaho — Rexburg, Idaho
February 2025 – April 2025
Relevant Courses: Machine Learning, Data Visualization, Data Wrangling, Statistics, SQL, Python, R, Pyspark
Societies/Clubs: President of the Data Science Society

EXPERIENCE

Data Analyst, Student Records and Registration
Brigham Young University-Idaho — Idaho
October 2024 – Present
- Built and maintained a records retention Power BI Dashboard identifying over 400,000 student records ready for disposal
- Utilized SQL to pull data from multiple sources to pipeline into dashboard for automation
- Presented dashboard updates to executives biweekly for feedback and stakeholder alignment

Data Science Consultant, BYU-I Career Center
Brigham Young University-Idaho — Idaho
April 2025 – Present
- Built an end-to-end data pipeline and Power BI dashboard to track alumni career outcomes
- Wrote SQL and Python code to pull, clean, and process data from multiple sources, including NLP on job titles
- Met regularly with stakeholders to align on goals, share updates, and deliver actionable insights

Project Manager, Data Science Society
Brigham Young University-Idaho — Idaho
January 2025 – April 2025
- Led a team of data scientists using a SQL Database to house data for an attendance analytics project for the Pioneer Baseball League
- Created compelling Data Visualizations in Python for stakeholders
- Met once a month with league commissioner to communicate insights and receive feedback

Data Science Tutor/Teaching Assistant
Brigham Young University-Idaho — Idaho
January 2025 – April 2025
- Guided students of all skill levels in Python, SQL, R, Tableau, and Power BI
- Broke down data wrangling and visualization concepts to enhance comprehension beyond assignments
- Adapted explanations to diverse learning styles, fostering problem-solving skills and confidence in data analysis

SKILLS

Analysis/Visualization: Python (Pandas, Lets-Plot, plotly, Pyspark), R (ggplot, tidyverse), Power BI (DAX), Tableau
Machine Learning: Scikit-learn, TensorFlow, Random Forest Classifiers, Neural Networks, XGBoost
Database Management/Design: MySQL, SQLite, Databricks, DAX Studio, Microsoft SQL Server

PROJECTS

Student Records Retention Compliance Dashboard
October 2024 – Present
- Developed a Power BI model that identified over 200,000 student records ready for disposal to comply with AACRAO retention guidelines
- Wrangled and cleaned data from 5 different databases to implement into the Power BI Model

Portland Crime Forecasting with XGBoost
April 2025
- Trained an XGBoost model to predict daily Portland, Oregon crime counts with an R² score of 0.62
- Applied feature engineering, hyperparameter tuning, and model evaluation with Python to improve prediction accuracy and reveal crime patterns