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Hi, I'm Isaac 👋


I'm a data and machine learning engineer, photographer, filmmaker and comedian. I'm passionate about data, creative business problem-solving, and actionable story telling. Some technologies I enjoy working with include Python, dbt and the Snowflake. I've worked on comedy special recommenders, ETL fraud detection applications and lots of SQL data modelling.

💻 Currently Working On:

  • I am currently open to work! At the moment I'm generally targeting analytics engineering roles but would love to take on more data platform work.

📚 Currently Learning More About:

  • BI theory and principles. I purchased the book Business unIntelligence and have been enjoying being exposed to new ideas on what goes into effective business decision making.

  • Bayesian Statistics, primarily through the book Statistical Rethinking.

🌎 Find me around the web & in the real world:

Isaac Campbell-Smith's Projects

baywheels icon baywheels

An exploratory data analysis of the last 2 years of Lyft's bike sharing service, Bay Wheels, in California's Bay Area. This repo was prepared during as first capstone project as a student at Galvanize Seattle. Let's dive in, shall we?

comedy_of_errors icon comedy_of_errors

Text classification of stand up comedy specials to better understand genre and improve content recommendations

datathon icon datathon

First Place entry for Galvanize Datathon (October 2020). Sentiment analysis of American political tweets and their potential effect on the election, before/after Trump announced he was diagnosed with Covid-19.

dsnd_term2 icon dsnd_term2

Contains files related to content and project of DSND Term 2

fb-comments icon fb-comments

Regression task to predict number of comments a Facebook post recieved

games icon games

Simple terminal-based games written in Python.

hateful-memes icon hateful-memes

Using science for good! In this project we'll be using Machine Learning to flag hateful content in Facebook memes.

ml_stats icon ml_stats

Misc. Scripts for Describing Datasets used for Machine Learning

pokestars icon pokestars

Building an ETL PostgreSQL Pipeline from scratch on AWS RDS to both perform detailed analysis of 6 years of Competitive Pokemon Battling statistics and get a better sense of an industry-standard Data Analyst workflow

rec-or-get-rec-d icon rec-or-get-rec-d

Recommending Movies for Users based on User movie ratings, demographic data on users, and metadata about movies

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