I use my clinical background and engineering knowledge to extract insights from data and analyze device performance. I have also created software applications which enable automation and fast data processing through my work in the medical devices field.

Services Offered

I help medical device companies test & troubleshoot device systems, analyze sensor signals, and find the root causes of device & software issues to drive quality improvements.

I build custom full stack software and data visualization dashboards to transform complex log files and large medical datasets into actionable insights, through advanced statistics and signal processing.

From prototype evaluation to customer-facing performance guidance, I deliver technical solutions that bridge engineering, data, and clinical use.

Portfolio

I strive to create projects that optimize organizational efficiency while extracting meaningful data.

Arrhythmia Extraction Pipeline

Concentrated arrhythmia data extracted from over 500k data files

Log File Visualization Tool

Automated tool for quickly visualizing raw log data

Customized Complaint Population Tool

Extracts data from templated PDFs and automatically populates complaint database using API

Secure Cloud Analytics Platform Project

Designed a custom Linux data science environment on AWS EC2 with secure VPN access.

Testimonials

"Daniel has developed numerous software tools utilizing Python to help streamline our everyday work. This includes developing a tool to auto populate complaint information into our database which has saved our team lots of time from manual data entry. He has also developed tools to analyze device log files and perform software related investigations."

"Working with Daniel is great, he set up and programmed several sensors for data collection that required a short turnaround, despite him not being familiar with these sensors at the start. The best part about Daniel is that he is very motivated to learn and is proactive in the process."