George McIntire
Verified Expert in Engineering
Data Scientist and Developer
Berkeley, CA, United States
Toptal member since January 31, 2024
George is a results-driven data scientist who brings a diverse skill set and rich experience to the table. His expertise lies in data translation and a versatile toolkit, including Python, SQL, and machine learning. George excels at distilling complex findings into actionable and comprehensible insights, making data accessible and impactful for stakeholders.
Portfolio
Experience
- Python - 9 years
- Machine Learning - 8 years
- Natural Language Processing (NLP) - 8 years
- Artificial Intelligence (AI) - 8 years
- Large Language Models (LLMs) - 4 years
- LangChain - 3 years
- Pinecone - 3 years
- Retrieval-augmented Generation (RAG) - 3 years
Work Experience
Clinical Research & Consensus Lead
The Ehlers-Danlos Society
- Developed a standardized clinical framework for diagnostic accuracy by facilitating expert consensus; translated qualitative medical insights into quantifiable metrics for global implementation.
- Handled survey development, data analysis, and formal reporting, ensuring actionable insights that will drive improved diagnostic accuracy and patient outcomes.
- Authored comprehensive case study materials and executive summaries to drive patient outcome improvements and clinical model adoption.
Healthcare Analytics & NLP Consultant
Self-employed
- Worked as the lead LLM developer for an app that uses a ChatGPT-powered LLM to generate custom infographics. I created a vector database for retrieval-augmented generation (RAG), and used Amazon DynamoDB to store user conversation history.
- Consulted for a project that explores and tests data science methodologies for use in the legal profession. I fine-tuned and adapted ChatGPT to extract and analyze relevant information from case opinions to aid lawyers.
- Synthesized healthcare worker sentiment and operational feedback using NLP, identifying friction points in care delivery to inform process optimization and scaling.
- Created a MVP AI recipe recommendation app. Used role&goal and few-shot prompting for prompt engineering with Chat-GPT4. Also built a RAG db with Qdrant populated with recipes and ingredient nutrients.
Data Scientist
W.W.S. INC.
- Designed and implemented production-grade data pipelines on Palantir Foundry to ingest, transform, and analyze large-scale commodity and market data used in trading and analytics workflows.
- Built incremental, scalable transforms to process high-volume time-series and tabular datasets, optimizing for performance, reproducibility, and downstream analytics consumption.
- Developed advanced analytical workflows in Python and SQL, supporting exploratory analysis, feature engineering, and model-ready datasets for forecasting and decision support.
- Delivered interactive dashboards and curated datasets for internal users, enabling self-serve analysis and faster iteration on market insights.
LLM & Data Science Consultant
BriefCatch
- Developed an LLM output evaluation pipeline for assessing the quality of legal citations extracted and corrected by BriefCatch's proprietary LLM tools.
- Used Microsoft Azure and LangChain for the technical aspects of the project.
- Created a process for generating an automated report that displays a summary of the evaluation pipeline's results.
Data Scientist | ML Engineer
- Conducted exploratory data analysis using BigQuery and named entity recognition on millions of tweets reported by users for perceived terms of service violations.
- Detected networks that coordinated reporting actions by users maliciously targeting other users for banning using NetworkX and Neo4j.
- Built an interactive dashboard with the results using Looker Studio, which was used by Twitter's health data science team members to inform allocating resources to combat malicious behavior.
Data Visualization Analyst
Callisto Media
- Conducted data research projects using exploratory data analysis, statistical analysis, and machine learning.
- Partnered with the marketing team to build an interactive dashboard using Plotly's Dash tool, allowing them to visualize important KPIs for various campaigns easily.
- Designed a word-similarity mechanism that outputs a score that evaluates how similar two Amazon key phrases are to one another, helping the company evaluate the Amazon book market to decide which types of books to publish.
- Used Word2Vec to automate a process that matches Amazon search terms with their appropriate categories designated by the Callisto taxonomy—a vital project to the company, given its reliance on Amazon search data.
Project History
DataJockey
https://github.com/GeorgeMcIntire/DataJockeyProtect Nil LLM
Gender Representation and Opinion Detection in the Media
https://www.ischool.berkeley.edu/projects/2022/gender-representation-and-opinion-detection-mediaMy role was training a subjectivity text classification model and mine patterns in the extracted quotes from the articles dataset.
Education
Master's Degree in Information Systems
UC Berkeley School of Information - Berkeley, CA, USA
Bachelor's Degree in Economics
Occidental College - Los Angeles, CA, USA
Skills
Libraries/APIs
Pandas, Scikit-learn, NumPy, PyTorch, TensorFlow, SpaCy, OpenAI API
Tools
ChatGPT, Plotly, GitHub, Amazon SageMaker, BigQuery, Looker, Tableau
Languages
SQL, Python, Python 3, R
Frameworks
Streamlit
Platforms
Azure, Jupyter Notebook, Amazon Web Services (AWS)
Storage
Databases, PostgreSQL, Amazon DynamoDB, Amazon S3 (AWS S3), Neo4j
Other
Machine Learning, Natural Language Processing (NLP), Data Analysis, Web Scraping, Data Visualization, Artificial Intelligence (AI), Data Science, Prompt Engineering, Clustering, Data Cleansing, OpenAI, Data Mining, Data Scraping, Dashboards, Data Analytics, Supervised Learning, ChatGPT Prompts, English, Text Classification, Data Scientist, Cluster Analysis, Unsupervised Learning, Text Analytics, Topic Modeling, Word Embedding, Statistical Analysis, Feature Engineering, Correlational Analysis, Dashboard Design, Dashboard Development, Google Colaboratory (Colab), Google BigQuery, Writing & Editing, Social Network Analysis, Causal Inference, Surveying, Large Language Models (LLMs), Predictive Modeling, Deep Learning, Neural Networks, Generative Pre-trained Transformers (GPT), OpenAI GPT-4 API, Chatbots, Dash, LangChain, Pinecone, Regression Modeling, Text Recognition, Labeling, Blogging, Technical Writing, Content Writing, Recurrent Neural Networks (RNNs), Convolutional Neural Networks (CNNs), Transformers, OpenAI GPT-3 API, Retrieval-augmented Generation (RAG), Churn Analysis, Hugging Face, MLflow, Statistics, Statistical Modeling, Generative Artificial Intelligence (GenAI), Analytics, Recommendation Systems, Time Series, Time Series Analysis, Critical Thinking, Research, Information Systems, Economics, Amazon RDS, Legal, Delphi Technique, Surveys, Palantir, Data Engineering
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