Data Science and Applied Mathematics
Hannah Luebbering

About Me

Data scientist with a creative flair and mathematical edge.
I turn data into insights, code into solutions, and designs into sleek interfaces. Love making the complex simple and fun. Explore my work!

Education

  • 2021 - 2023
    MS, Data Science
    University of Washington
    Seattle WA
  • 2017 - 2021
    BS, Applied Mathematics
    Wake Forest University
    Winston-Salem NC

Interests

Mathematical Modeling
Machine Learning
Data Engineering
UX/UI Web Design

Projects

Machine Learning

Clustering Spotify Playlist Songs

Implemented K-Means Clustering to categorize songs by similar audio features from Spotify API data.

Jan 2023 | python
Data Science

Twitter API Data Queries

Loaded and queried Twitter API data consisting of Elon Musk’s most recent Tweets from 2015 to 2022.

Aug 2022 | r-project
Statistics

Spotify Data Analysis

Applied statistical methods to Spotify API data to explore factors influencing popularity of a song.

Jan 2022 | r-project
Data Science

Exploratory Visual Analysis of CO2 Emissions

Created visualizations to explore and translate the World Development Indicators data set for global CO2 emissions.

Nov 2021 | python
Mathematics

Digital Sound and Music in Matlab

Completed project on sound and music through basic physics, mathematics, algorithms, fundamental music theory, and MIDI.

July 2020 | js
Mathematics

Mathematical Dynamics of Model Neurons

Studied neurons composed of excitatory and inhibitory subgroups, which each exhibited various oscillation patterns when fired.

Dec 2020 |
Machine Learning

Regression Models for Stock Forecasting

Applied regression analysis with PCA on multivariate stock data to forecast market trends.

May 2022 | r-project
Web Development

Shiny and Learnr in Randomized Trials

Built and published interactive tutorials on using tidyverse for data analysis and generated randomized trials using shiny and learnr software.

June 2020 | r-project

Recent Posts

Machine Learning
Multimodal Neurons in Neural Networks December 12, 2022

Studied multimodal neurons found in recent CLIP (Contrastive Language-Image Pre-training) models.

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Data Science
Space Exploration Data Analysis January 10, 2022

Analyzed planetary exploration budget data to explore what drives the progression of space missions.

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Mathematics
Google's PageRank April 19, 2021

Linear algebra application of a PageRank as a markov chain.

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