
A Complete Guide to Database Normalization in SQL"
Towards Data Science article detailing the first three steps of database normalization in PostgreSQL.
Learn moreText-based analysis determined general semantic patterns, sentiment and LDA topics common to expressions of either anxiety or depression through the use of 10,000 anxiety and depression focused tweets pulled via the Twitter API. Ensemble learning algorithms best classified text as either anxiety or depression-focused.
Skills: Python, NLP, Sentiment Analysis, Topic Modeling, Unsupervised & Supervised ML
Learn moreExamination of suicide rates per country as scraped from Wikipedia. Associations with mental illness prevalence, unemployement rates, GDP expenditure and gender ratios visualized prior to ML classification of countries' overall suicide rate as compared to the global average. See related Tableau viz here
Skills: Python, Webscraping, Exploratory Data Analysis, Supervised ML, Tableau
Learn moreExploration and prediction of what professional and personal experiences impact tech employees' expectations of mental health conversations in the workplace.
Skills: R, Data Cleaning, Feature Selection, Supervised ML
Learn moreI also like to write and explore! Check out my recent work below for posts and additional academic projects.
Towards Data Science article detailing the first three steps of database normalization in PostgreSQL.
Learn moreTowards Data Science article outlining best data cleaning practices and how to execute them in R.
Learn moreBickford et al., 2019. Original publication Aging and Mental Health Dec 2019 Issue
Learn moreR-based academic project utilizing linear regression analysis results in poster presented at the 2021 American Psychiatric Association Conference.
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