Resume

Tyler Lowry

Data Science Graduate Student

tjlowry02@gmail.com | 480-297-6545 | LinkedIn


Education

Texas A&M University | College Station, TX

Aug 2025 – Present
Master of Science, Data Science (Statistics Track)

Brigham Young University-Idaho | Rexburg, ID

Apr 2025
Bachelor of Science, Data Science – Accounting Minor – Machine Learning Certificate
- GPA: 3.89


Technical Skills

Languages: Python, R, SQL, TypeScript, PHP, HTML, CSS, C#
Frameworks/Libraries: TensorFlow, Pandas, Polars, NumPy, Scikit-learn, PySpark, Tidyverse, REST API, React, Node.js
Tools: Docker, Git, AWS, Databricks, Power BI, Tableau, Adobe Suite


Projects

Time Series Forecasting Comparison Dashboard

Senior Capstone Project, 2025

  • Developed comprehensive end-to-end dashboard using Streamlit allowing users to compare multiple forecasting methodologies including ARIMA, neural networks, and ensemble methods
  • Implemented data preprocessing pipeline with Box-Cox transformations, autocorrelation analysis, and seasonal decomposition for business-friendly pattern detection
  • Created educational resources and technical blog to make advanced forecasting accessible to non-technical users
  • Tech Stack: Python, Streamlit, Polars, TensorFlow/Keras, Scikit-Learn, NumPy

Sales Analytics ETL Pipeline & Dashboard

Statistics and Data Science Consulting Course, 2024

  • Served as data science consultant for real business client, developing ETL pipeline with Tableau dashboard for sales performance visualization across product categories
  • Collaborated with team to analyze business requirements and deliver actionable insights for decision-making
  • Tech Stack: ETL tools, Tableau, SQL

Work Experience

Team Lead/Developer

BYU-Idaho McKay Maclab | Rexburg, ID | Jan 2023 – July 2025

  • Collaborated with a team of 3 in full stack development of Maclab website and 3D printing queue
  • Conducted interviews, reviewed resumes to screen candidates, and provided training to new employees
  • Facilitated weekly meetings to discuss goals, track task progress, and deliver short training sessions to the team
  • Designed interactive Streamlit dashboards to track KPI performance, resulting in a 14% average improvement across all metrics

TA/Tutor

BYU-Idaho Department of Mathematics | Rexburg, ID | April 2024 – April 2025

  • Served as teaching assistant and tutor for 5 core courses including “Intro to Programming,” “Data Science Programming,” and “Biostatistics,” plus staffed the Data Science Tutoring Drop-In Lab supporting 200+ students per semester
  • Led weekly group meetings of 10 students and conducted 7-10 individual tutoring appointments per week, focusing on Python, R, Excel, and statistical analysis
  • Graded 100+ student assignments weekly and provided detailed feedback on areas of improvement, while offering real-time problem-solving support for walk-in students across all data science courses

Intern

George W. Lowry Inc. | Salida, CA | Sept 2023 – Dec 2023

  • Migrated legacy database system to AWS and optimized database architecture by eliminating redundant joins, improving foreign key usage, and refining indexes, resulting in a nearly two-hour reduction in report generation runtime
  • Identified and implemented an AWS EC2 instance, increasing computing power while lowering costs, reducing server crashes, and improving efficiency
  • Developed a CRM using a PHP framework, enhancing location data tracking and streamlining communication between sales team and delivery drivers for improved logistics

Machine Learning Engineer Intern

PIC Business Systems | San Antonio, TX | May 2023 – Sept 2023

  • Developed a 90-day sales forecasting ensembled model and an interactive dashboard for product performance, resulting in a 30% improvement in median forecast MAPE
  • Enhanced data quality by integrating external factors such as weather and date, using APIs and Pandas to create additional features for the model
  • Automated monthly forecasting and database updates by leveraging AWS Lambda and S3 Buckets, enabling easy access to forecasts and reducing manual efforts

References available upon request