Intro

As someone who truly loves data, I take on subjects that matter. Check out my work.

Work

Analysis looking at demographic data of Chicago police who have sustained allegations.
Chicago Police Complaints 👮 👮‍

Transactions from a European credit card company. The algorithms detect anomalies using unsupervised learning, neural networks and gradient boosting.
Credit Card Fraud 💳 💸

A political clustering technique that uses dimensionality reduction and unsupervised learning. The datasets are from the US census and a political science nonprofit.
Sheriff Data ⚖️

About

Curious data scientist proficient in anomaly detection, analysis and machine learning.

I have over six years of experience in accounting, which allowed me to develop data wrangling, planning, compliance and descriptive analytics skills. I have a strong interest in nonprofits and impactful missions.

My ideal day: telling stories with data, visually collaborating with team members, then sharing results to ensure policies and services are working as intended. My interests include analysis, political science, finance, census data, and ethical AI.

📀 Python, Pandas, PostgreSQL, Google Cloud Platform, Excel/VBA/macros, Tableau, Azure, Keras, fast.ai

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i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';

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Name Description Price
Item One Ante turpis integer aliquet porttitor. 29.99
Item Two Vis ac commodo adipiscing arcu aliquet. 19.99
Item Three Morbi faucibus arcu accumsan lorem. 29.99
Item Four Vitae integer tempus condimentum. 19.99
Item Five Ante turpis integer aliquet porttitor. 29.99
100.00

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Name Description Price
Item One Ante turpis integer aliquet porttitor. 29.99
Item Two Vis ac commodo adipiscing arcu aliquet. 19.99
Item Three Morbi faucibus arcu accumsan lorem. 29.99
Item Four Vitae integer tempus condimentum. 19.99
Item Five Ante turpis integer aliquet porttitor. 29.99
100.00

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