Daniel Welsh

I’m a data-focused analyst-in-training bridging operational data with clear reporting. With an M.S. in Applied Data Analytics and hands-on experience transforming messy records into structured datasets, I focus on accuracy, usability, and decision-ready outputs.

In my Data Analytics Intern / Applied Data Analytics Practicum, I transformed 460,000+ unstructured operational records into structured datasets, built Excel and Python dashboards, and created data models to improve operational visibility and KPI tracking. I also designed machine-learning classification models to standardize reporting inputs and improve data consistency.

Previously, as a Quality Control - Microbiologist, I analyzed operational and environmental data to identify trends, ensured compliance with regulatory standards, and maintained Excel-based tracking and reporting systems. I bring a strong data validation mindset, documentation aligned with GMP/GLP standards, and an improvement-oriented approach grounded in statistical analysis, agile practices, and process improvement.