Daniel Menzin | Resume

Daniel Menzin

dan@streamlinedbiomed.com | M: 781-512-9554 | LinkedIn

Summary

Biomedical engineer with strong expertise in physiological signal processing, data engineering, and cloud-based biomedical analytics. Proficient in Python, Jupyter, MATLAB, SQL, and AWS for data wrangling, visualization, and ETL. Experienced in API troubleshooting and data ingestion, including tracing backend structures, performing GET calls, and iterating through JSON for efficient data retrieval. Adept at analyzing complex clinical data, extracting insights from device logs, and developing robust data pipelines.

Technical Skills

  • Programming & Tools: Python, MATLAB, SQL (PostgreSQL), R, Embedded C, Jupyter, ImageJ, Git, venv
  • Data Infrastructure: AWS EC2, Wireguard VPN, ETL pipelines, cloud data ingestion, data visualization
  • Data Science & Biomedical Expertise: ECG/EOG signal analysis, clinical data interpretation, PK/PD modeling, digital biomarkers, time-series analysis
  • API Troubleshooting: GET calls, backend tracing, JSON parsing and iteration for data extraction
  • Soft Skills: Analytical mindset, clear communication, collaboration, problem-solving
  • Regulatory Knowledge: FDA compliance, ISO 13485

Professional Experience

Belmont Medical Technologies – Post Market Surveillance Engineer (Feb 2023–Present)

  • Automated complaint documentation using Python and API integrations, reducing manual effort by 45 minutes/day.
  • Developed log analysis tools to process fixed-structure logs, perform datetime conversions, visualize trends, and infer clinical sequences.
  • Applied data visualization and signal trend analysis to create clear technical reports and customer communication decreasing turnaround from weeks to days.
  • Reviewed clinical reports and engineering logs for detailed failure investigations and regulatory submissions.
  • Investigated returned disposable medical devices using data provided such as customer reports, lot history records to determine and infer root cause based on visual observation.

Belmont Medical Technologies – Post Market Surveillance Analyst (Mar 2022–Feb 2023)

  • Managed complaint cases, combining technical documentation and customer feedback for MDR preparation.
  • Increased complaint closure rate by 15%, demonstrating strong organizational and communication skills.

Abbott Laboratories – Post Market Surveillance Analyst (Jun 2021–Feb 2022)

  • Integrated clinical data with engineering logs to generate comprehensive MDR reports for FDA submission.
  • Applied analytical methods to interpret patient events and align data with regulatory requirements.

Projects

  • iCentia11k AFib Dataset & Real-Time Detection Pipeline: Extracted 1.2M AFib episodes from 550K ATR files on AWS EC2, leveraging parallel processing and secure cloud infrastructure.
  • Conducted feature engineering, clustering, and data visualization using Python and Jupyter.
  • Applied histogram modeling and data integrity checks to validate extracted segments.
  • PK/PD Modeling Project: Designed a pharmacokinetic/pharmacodynamic model of pembrolizumab using MATLAB, scaling mouse model parameters to human data.
  • Employed differential equations and validation methods to align model outputs with clinical trial results.
  • Data Science Final Project (Cleveland Clinic Dataset): Analyzed cardiac patient data with Python and R, extracting heart disease risk factors and exploring relationships using visualization and modeling.
  • Wireless Sensor Networks & IoT Projects: Programmed Raspberry Pi and BeagleBone Black for multimodal sensor data acquisition using Embedded C.
  • Configured VPN, SSH, and cloud infrastructure for secure data handling and analysis, and to support mobile friendly coding.

Education

BS in Biomedical Engineering, University of Massachusetts Amherst – 2021
Dean’s List (Fall 2017, Spring 2020, Fall 2020)
Graduate coursework: Medical Physiology, Wireless Sensor Networks & IoT (Northeastern University)