MJ
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Martin Judge

@martinjudge

Innovative Data Scientist with 10+ years of experience.

United States

What I'm looking for

I am looking for a role that fosters innovation, collaboration, and continuous learning in AI and data science.

As a Senior Data Scientist with over a decade of experience, I have honed my skills at industry leaders like Google and American Express, as well as in high-growth startups. My expertise lies in Natural Language Processing (NLP), Large Language Models (LLMs), and AI-driven automation, where I have a proven track record of developing scalable, production-ready machine learning solutions. I excel at transforming complex data into actionable insights that drive business success.

In my current role at Abridge, I designed and implemented domain-specific NLP models that have significantly enhanced medical documentation processes. By collaborating with clinicians and product managers, I developed AI-driven solutions that not only improved patient care but also ensured compliance with data protection regulations. My experience includes fine-tuning LLMs and building interactive dashboards that provide real-time tracking of key performance indicators, facilitating informed decision-making at the executive level.

Previously, at Moveworks, I developed advanced Natural Language Understanding (NLU) models and optimized deep learning systems that improved enterprise knowledge discovery and reduced operational costs. My contributions to the Transformer architecture at Google have influenced state-of-the-art NLP benchmarks, showcasing my commitment to innovation and excellence in data science.

Experience

Work history, roles, and key accomplishments

AB
Current

Senior Data Scientist

Abridge

Apr 2021 - Present (4 years 1 month)

Designed and implemented NLP models for automated medical transcription, enhancing patient care and operational efficiency. Collaborated with clinicians to automate documentation while ensuring data privacy. Developed data preprocessing workflows and fine-tuned LLMs for improved summary accuracy. Engineered dashboards for KPI tracking and built robust data pipelines for clinical data integration.

AE

Machine Learning Data Analyst

American Express

Jul 2014 - May 2018 (3 years 10 months)

Developed CNN-based models for application volume forecasting, reducing marketing waste and increasing approval rates. Optimized forecasting with XGBoost, automated data pipelines, and improved decision-making through feature engineering.

Education

Degrees, certifications, and relevant coursework

The University of Georgia logoTG

The University of Georgia

Master of Science, Statistics

2014 -

The University of Georgia logoTG

The University of Georgia

Bachelor of Science, Mathematics

2011 -

The University of Georgia logoTG

The University of Georgia

Bachelor of Science, Statistics

2011 -

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