Excel files are still everywhere—in finance departments, HR teams, academic research, and nonprofits. But turning that data into something useful for analysis often means tedious, manual work: cleaning, transforming, and importing it into analytical tools. I wanted to solve this problem more elegantly.
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I'm focused on using software engineering, data analysis, and data science, to solve business or policy problems
My skills include Python programming, data analysis, data visualization, machine learning, big data, natural language processing, computer vision, and web scraping.
Check out my Fiverr gig for custom data pipelines!The Importance of Efficiency
My Experience with Problem 2 of the 2021 Bioinformatics Contest
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Support Groups Finder
This is a project I worked on with two other data scientists. I was responsible for creating the model we would use as the basis for an application that would recommend online support groups for users based on the text they input into an online form on our website. We...
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Preventing Both the Tyranny of the Majority and the Tyranny of the Minority
The US Senate has always been unrepresentative of the nation’s population. Every state, regardless of population, gets two senators. However, over the years the Senate has become even less representative as more people move away from rural areas and into urban areas.
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Be Mindful of Biases in Data Storytelling
As data scientists, we can use data visualizations to tell a story. But just as storytellers can be biased, our data visualizations can reinforce our own or our audience’s biases and give a biased narrative. Here’s one example:
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