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followers: 19.0 following: 20.0 repos: 31.0 gists: 2.0

Name: Megan O'Rorke

Type: User

Company: Data Scientist

Twitter: leggomymego

Location: San Francisco, CA

Blog: www.linkedin.com/in/meganororke

Hello there! 👋

I'm Megan O'Rorke, a Data Scientist living in San Francisco.

Previously Founder of AI Collective, Product Manager for a ML app at Capital One & Research Assistant @ Calit2. I have 10yrs of industry experience at tiny startups & large companies for industries including banking, e-commerce & health. After winding down my startup I'm currently consulting, most recently for a Fortune 100 biotech company.

🌱 I’m learning a bit of deep learning w/fast.ai & how to get models off my laptop with GCP & AWS
👯 I’m looking to collaborate on real-world projects, bioinformatics & ML in the cloud
🤔 I’m looking for help becoming a better Python3 programmer - ping me if you're interested in pair programming!
😄 Pronouns: she/her
Fun fact: O'Reilly books are 80% of my book collection & it's my dream to someday be an author

What got me interested in data science?

I got hooked on data while working at Calit2 on research projects from predicting future fires using satellite imagery to mining research publications to model a research university's expertise. I was in awe of the level of personalization possible with zero user input & how ML could literally save homes & lives. But I had very little programming experience & a large amount of student loans to pay off, so instead of going straight to grad school I went into industry & progressively took on more technical roles.

Megan O'Rorke's Projects

2016-election

Analysis of vote patterns

amherst-website-migration

case-study-fraud-detection

Fraud Case Study Challenge: Given historical data, create a web based front-end with machine learning back-end to enable quick triage of potential new fraud. Classify transactions as high, medium or low risk.

case-study-predicting-sale-price

case-study-recommender-1

Joke Recommender Case Study

churn_case_study

Predict Customer Churn - Case Study Team Project

course-v3

The 3rd edition of course.fast.ai

covid-19-health-equity-resources

Resources that target health equity and accessibility during Covid-19

covid19_datathon

Group project in association with MIT's COVID-19 Datathon

dataframeestimatorwrapper

Custom and wrapper classes for estimators, pipelines and feature union in sklearn to support pandas dataframes.

deep-learning

Class with Lukas

deep-learning-pytorch

deeplearning-digitalocean

Hosting a cnn deep learning model with digital ocean.

demo_app

Ruby on Rails demo application

ds-sf-30

Course materials for General Assembly's Data Science course in San Francisco (12/6/16 - 2/21/17)

fastai-v3

Starter app for fastai v3 model deployment on Render

fastbook

Draft of the fastai book

food

Analysis of ingredient relationships of food genome’s 1 million recipes. Uses ingredient intersection across courses for cooks to save time and money.

food-cont

image-classifier-larger-model

Extending the snowpeople app to use larger model files and still render them with Binder.

lovecopter

Cupid gets 21st century

megano

My custom profile

memory_template_lab

A memory game where you try to match 2 cards.

modernomad

manage multi-use community houses: members, guests, events.

police_force_us

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

rmbr

A game to help you remember names and faces.

snowpeopleapp

Interactive deep learning CNN image classifier that identifies the friendly snowman Olaf and the abominable snowman.

storytelling

Test potential of supervised ML models for fiction & film industries. Successfully predicted next events in story via random forest model.

uc-san-diego-thesis

This repo is a reference for thesis work: Computer Vision, Empathy and Lie Detection in collaboration w/Machine Perception Lab.

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