- π Iβm currently working on applying machine learning for geospatial anomaly detection and classification problems.
- π± Iβm currently learning deep learning methods to apply in real-world use cases.
- π― Iβm looking to collaborate on social good-minded projects.
- π€ Iβm looking for help with geo-spatial analysis and building interactive dashboards showcasing model results on maps.
- π¬ Ask me about statistical inference, R
- π« How to reach me: through Linked-in profile
- π Pronouns: he/him
- β‘ Fun fact: I find good comedy to be great way to relieve stress. I also speak a few human languages.
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Propensityscoring_Stata
Propensityscoring_Stata PublicExamples of propensity scoring models to examine treatment effects performed in Stata
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Logistic-regression-and-classification
Logistic-regression-and-classification PublicThis repository presents examples of logistic regression and classification models
Jupyter Notebook
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Baby-food-selection-as-an-OOP-application
Baby-food-selection-as-an-OOP-application PublicIn this project, I build a baby food menu whereby each food item on the menu triggers a response from the baby using Object-Oriented Programming.
Python
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Gender_Experiment
Gender_Experiment PublicR Code and reporting output for randomized causal inference study to answer question on whether there is bias in following directions from gendered voices.
TeX
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Spark_Project_Analysis_Example
Spark_Project_Analysis_Example PublicExample of machine learning at scale (distributed data). Developing a distributed PySpark pipeline for implementing logistic regression and random forest algorithms to predict click-through rates.
Jupyter Notebook
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AustinDoolittle/W241-Final-Project
AustinDoolittle/W241-Final-Project PublicSource code for an experiment exploring gender interactions
JavaScript
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