Tyler Lowry

DATA SCIENTIST

I’m a first-year Data Science MS student at Texas A&M, where I’m doing graduate research on 3D spatial transcriptomics — building GPU-accelerated pipelines to analyze 43M-cell MERFISH datasets. Before grad school, I worked as an ML engineer building production forecasting systems, where I learned to care as much about the math being correct as the code running fast.

My background sits at the intersection of statistics, machine learning, and business. I paired a Data Science degree with an Accounting minor in undergrad, and that combination shapes how I approach problems. I’m most interested in applying rigorous statistical methods to real decisions in finance, operations, and anywhere messy data hides useful signal.

Skills

Programming Languages

• Python, R, SQL
• TypeScript, JavaScript
• PHP, C#, HTML/CSS

Machine Learning & Statistics

• TensorFlow, Scikit-learn, PyTorch
• Pandas, Polars, NumPy, PySpark
• R Tidyverse
• Statistical Modeling & Analysis

Data Visualization & BI

• Tableau, Power BI
• ggplot2, Plotly, Seaborn
• Interactive Dashboards

Cloud & Development

• AWS (EC2, S3, Lambda), Databricks
• Docker, Git
• REST APIs, React, Node.js
• Database Design & Optimization