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Data Science and Applied Mathematics
Hannah Luebbering

About Me

I am a data scientist particularly interested in the intersection of mathematical modeling, computing, and user interface design. I specialize in synthesizing insights from data using various programming languages and developing cutting-edge, user-centric platforms.

Education

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

Interests

Mathematics & Physics
Artificial Intelligence
Quantum Technology
Space Exploration
Circular Text Path Hannah   Luebbering  

Skills

    Mathematical Modeling

    Nonlinear Diff. Equations, Logistic Pop. Dynamics, Phase Plane Analysis, Steady-State Solutions, & Limit Cycles

    Machine Learning

    Supervised ML, Unsupervised ML, Deep learning

    Data Analytics & Visualizations

    Collaborative filtering, natural language processing, Tableau

    Statistical Analysis

    Experimentation, A/B testing, Randomized controlled trials via interactive web tutorials

    UX/UI Web Design

    CSS, HTML, JavaScript

Programming

  • Word product icon
    Python
    75%
  • Word product icon
    R
    85%
  • Word product icon
    SQL
    65%
  • Word product icon
    HTML5/ CSS
    70%
  • Word product icon
    JavaScript
    50%
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    Matlab
    60%

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

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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Machine Learning
Multimodal Neurons in Neural Networks December 12, 2021

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

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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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  • socials

    linkedin github and codepen

  • code

    codepen and github

  • email

    luebhr@gmail.com