MSDS student · data science · ML systems

Aidan Percy

Building practical data products, analytics workflows, and machine learning systems.

Early-career data scientist and ML engineer with interests across machine learning, MLOps, analytics, and software that turns data into useful tools.

Interested in useful systems, not demos.

Aidan is an MSDS student focused on building practical data products and ML systems. Current interests include data pipelines, applied machine learning, analytics workflows, and the engineering needed to move models from experiments into reliable tools.

Selected work

Three projects that reflect an interest in data products, automation, and applied ML.

Spiffy

A personal app project in progress, built as a space to explore product design, implementation decisions, and practical software development.

Stack: Ongoing personal build

Automated Temperature Forecasting Data Pipeline

A forecasting pipeline that combines historical weather data with new daily updates, then generates next-day maximum temperature predictions automatically.

Stack: GCP, MongoDB, BigQuery, Airflow / Cloud Composer, BigQuery ML

AI Commute Assistant Agent

A lightweight agent concept for turning transit and contextual information into short, useful commute briefings.

Stack: AI agent workflows, transit/context data

Links

Find code, connect professionally, or reach out directly.