George McIntire
Verified Expert in Engineering
Data Scientists and Developer
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
Availability
Preferred Environment
Jupyter Notebook, Python 3, Google BigQuery, GitHub, Amazon SageMaker, Amazon Web Services (AWS), SQL
The most amazing...
...solution I've created is a text classification and quote extraction pipeline for a nonprofit focused on analyzing how the media quotes men as opposed to women.
Work Experience
Data Science 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.
- Leveraged unsupervised learning and sentence embeddings to analyze the survey results of healthcare workers.
Data Science Intern
- 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.
Experience
DataJockey
https://github.com/GeorgeMcIntire/DataJockeyProtect Nil LLM
Skills
Languages
Python, Python 3, SQL
Libraries/APIs
Pandas, Scikit-learn, NumPy, PyTorch, TensorFlow
Tools
Plotly, GitHub, Amazon SageMaker, ChatGPT, BigQuery
Paradigms
Data Science
Other
Machine Learning, Natural Language Processing (NLP), Data Analysis, Web Scraping, Data Visualization, Clustering, Data Cleansing, Data Mining, Dashboards, Data Analytics, Google BigQuery, Writing & Editing, Social Network Analysis, Causal Inference, Surveying, Large Language Models (LLMs), Predictive Modeling, Artificial Intelligence (AI), Deep Learning, Neural Networks, Generative Pre-trained Transformers (GPT), OpenAI, OpenAI GPT-4 API, Chatbots, Data Scraping, Dash, GPT, LangChain, Pinecone, Critical Thinking, Research, Information Systems, Economics, Prompt Engineering, Amazon RDS
Frameworks
Streamlit
Storage
Databases, PostgreSQL, Amazon DynamoDB, Amazon S3 (AWS S3), Neo4j
Platforms
Jupyter Notebook, Amazon Web Services (AWS)
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
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