Nicholas Arquette

Address: 314 N Segoe Rd, Madison, WI 53705
Phone: (786) 539-9172
Email: nicholas.arquette@gmail.com
LinkedIn: linkedin.com/in/nicholasarquette
GitHub: github.com/narquette
X: @narquette82
Medium: @nicholas.arquette

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Profile

Lead Data Scientist with 19 years of healthcare domain experience that can help solve problems in healthcare using Artificial Intelligence. —

Experience

Lead Data Scientist

Milliman Intelliscript

May 2023 - Present

• Performed an evaluation of an EHR Data Vendor (Truveta)
• Presented vendor score findings to leadership
• Deployed a note classification GenAI solution to production (first person on team)
• Implement / assist with creating CI / CD pipelines for various repos
• Assist with transitioning on-premise code into cloud ready workflows (e.g. docker, AWS batch)
• Develop various applications (streamlit) to facilitate reviewing performance and / or labeling NLP data
• Lead initiatives (green field) to help modernize approaches (docker, coding standards, cloud workflows, experimentation tracking) applied by the Data science team.
• Continue to learn about tools / best practices implemented in and around Data Science.
• Perform peer reviews of various data science solutions (e.g. R, Python, SQL, Glue, etc.)

Sr Data Scientist

Milliman Intelliscript

May 2023 - Dec 2024

• Developed a framework to evaluate Healthcare vendors (e.g. NLP and Deidentified-data)
• Performed an evaluation of various Data solution (Databricks and Snowflake)
• Curated a Healthcare NLP dataset to use for evaluating NLP vendors
• Transitioned on-premise code (five different products) into cloud ready workflows (e.g. docker, AWS batch)
• Developed various applications (streamlit) to facilitate reviewing performance and / or labeling NLP data
• Led initiatives (green field) to help modernize approaches (docker, coding standards, cloud workflows, experimentation tracking) applied by the Data science team.
• Performed peer reviews of various data science solutions (e.g. R and Python)

Data Scientist

Cogitativo | Nov 2020 - May 2023

Developing machine learning tools to help solve problems plaguing the health system such as deferred care.

Manager, Data Solutions Management

Allscripts Healthcare Solutions | Jan 2019 - Nov 2020

Leading Artificial Intelligence/Machine Learning Initiatives, establishing a framework for how Data Science will be offered to clients, partnering with Early Adopter clients to understand where to focus Intelligence efforts, developing prototypes for future product intelligence, developing business intelligence visualizations, connecting Business Intelligence with Artificial Intelligence, and inserting Business Intelligence into the Clinical Workflow.

Product Manager

Allscripts Healthcare Solutions | Jan 2015 - Dec 2019

Managed an on-premise Reporting/ETL system. Lead the roadmap of an Ambulatory Reporting/ETL solution powered by MicroStrategy to support adhoc reporting needs.

Senior Business Analyst

Allscripts Healthcare Solutions | Jan 2012 - Dec 2015

Developed business requirement and interfaced with clients for a reporting solution. Developed specification for clincal regulatory measurs.

Implementation Architect

Allscripts Healthcare Solutions | Jan 2010 - Dec 2012

Implementated and lead the implementation of an Electronic Healthcare Record for a large, multi-state, multi-specialty healthcare organization.

Senior Implementation Consultant

Allscripts Healthcare Solutions | Jan 2008 - Dec 2010

Participated in a rapid deployment strategy for Ambulatory Healthcare organizations. Led, managed, and supported over 30 different client go-lives. Mentored other team members to ensure that the team was well-balanced in expertise.

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Certifications

• AI Engineer Agentic Track: The complete agentic & MCP Course, Udemy - In-progress, 2026
• Rust Fundamentals, Pluralsight - July 2025
• Analyzing Large Datasets with Pyspark, Pluralsight - July 2025
• Generative AI Development, Databricks Conference - June 2025
• Generative AI Deployment, Databricks Conference - June 2025
• LLM Engineering: Master AI, Large Language Models & Agents, Udemy - February 2025
• Amazon Bedrock - The Complete Guide to AWS Generative AI, Udemy - June 2024

• Scala & Function Programming Essentials

  Rock the JVM - Feb 2024

• Terraform for AWS - Beginner to Expert, Udemy - September 2023
• Complete Tensorflow 2 and Keras Deep Learning Bootcamp, Udemy - January 2020
• Learning Python Masterclass - May 2020

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Education

Masters of Science, Data Science

University of Wisconsin - Green Bay | May 2016 - May 2020
GPA: 3.83
Graduate Program for Data Science
Official Transcript

Bachelor of Economics

Marian University, Indianapolis, IN | August 2000 - Dec 2004
GPA: 3.54
Major in Economics

Bachelor of Business Administration

Marian University, Indianapolis, IN | August 2000 - Dec 2004
GPA: 3.54
Major in Business Administration

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Projects

Predicting No Show Appointments

Capstone Project for Master of Data Science

How do you get through each of the data science steps and what considerations must be addressed.

Technologies: Python, Flask, Heroku, TensorFlow 2.0, Machine Learning
Links: Project Paper | GitHub

Heroku Predictive Application

Predictive Appointment No Show Application Using An Artifical Neural Network

Application that could be integrated into any part of the workflow.

Technologies: Python, Flask, TensorFlow 2.0, Machine Learning
Links: Live Demo | [GitHub](https://github.