Data Science and Applied Mathematics
Hannah Luebbering

About Me

Data scientist with an applied math background focused on marketing and product analytics. I build scalable pipelines in BigQuery, ship models for segmentation and prediction in Python, and turn messy ad-platform data into decisions through clear dashboards and measurement.

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 |
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 |
Statistics

Spotify Data Analysis

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

Jan 2022 |
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 |
Data Science

Multimodal Neurons in Neural Networks

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

Nov 2022 |
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 |
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 |
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 |