Hi there! I am a Seattle native, a graduate of the Data Science program at the Flatiron School,
and I have over 4 years experience as an analyst working in the financial services industry.
This page lists some of the various
projects I have worked on, as well as some articles I have written.
If you'd like to get in contact with me, please send me
an email: aabrahamson3 at gmail
View Project Website
View Project Github
Beer30 is powered by a deep neural network (Doc2Vec) and is trained on over 2 million text reviews spanning from 1998-2017. The model learned from the taste and flavor notes provided by over 20,000 users on 22,514 unique beers. It takes in either a keyword or specific beer, and it searches for other beers most similar to the provided input. Then it filters based upon the location provided by the user, and returns breweries that make beer that closely match the keyword/beer.
The Council Data Project is aimed at making city council meetings more transparent and discoverable for citizens and journalists.
I performed preliminary EDA on text transcript data from Seattle City Council meetings, and then created a pipeline to evaluate and
visualize sentiment of meetings over time with NLTK's VADER.
Water is an incredibly volatile resource in Tanzania - nearly half of the population does not have access to clean drinking water. We analyzed data provided by the Tanzanian Ministry of Water on 60,000 water wells (and their operational status) and used it to build models with the aim of predicting when they are in need of repair. We created a data pipeline to extract and engineer complex features to improve model’s predictive accuracy. We selected a random forest model with an accuracy of 82% (F1 scores 79-84%)
Opportunity Youth are defined as young people aged between 16 and 24 who are not participating in the labor market
or are not enrolled in school. Approximately one in every nine people in this age group is considered an Opportunity Youth,
and their chance of earning an associate's degree (or higher) is severely diminished.
Current estimates of Opportunity Youth in King County are based upon 2014 census data, but there are now more up to date figures.
This project sought to re-estimate the number of Opportunity Youth in King County based upon this new data, to help social programs
aimed at aiding these individuals to succeed.
Created a linear regression model to test several hypotheses about housing prices, with the aim of helping Millennial first time home buyers.
I wanted to try out both a supervised NLP problem and a LSTM model. So I did both!
Walking through the work I did during St. Hack-trick's Day 2020.
In this article I go through how I created a content based recommender with Doc2Vec, and I show some cool visualizations!
In this article I describe and summarize a project created by a team of security researchers. They developed a way to automate spear phishing campaign's on Twitter. It is an incredibly interesting application of natural language processing.
Docker is a great way to encapsulate data science projects. In this article I give a brief introduction on what it is!
This is a technical tutorial on how to run a Docker image, make your own Dockerfile and turn it into a Docker Image!