cbrightly1
- Data Science Professional - CMU Master of Statistical Practice 2022 - Pitt Stats 2021
Pittsburgh, PA
Pinned Repositories
36-650
Statistical Computing Repository
capital-bikeshare-data-mining
Data mining process for a group project about the Capital Bikeshare data. Developed in Python using Jupyter Notebook.
cbrightly1
My personal repository
fnb-customer-segmentation
This project used a Kmeans after PCA model to segment retail customers to optimize marketing efforts. When the model repeatedly returned a single cluster, the model was used to prove the customers' homogenous characteristics. Influenced the bank's marketing strategies and initiatives. Developed in Jupyter Notebook with Python for FNB.
fnb-leadgen
This project uses a logistic regression model to develop a cross-sell list with current mortgage customers. Developed in Jupyter Notebook using Python for FNB.
ggplot-project
This project was a replication of a FiveThirtyEight Visualization using R's ggplot package.
housing-prices-project
Predicting market housing prices by testing algorithms taught in an intermediate data science course. Developed in R.
latex-test
stackoverflow-time-series
A time series analysis of the StackOverflow question counts for popular data science topics. Includes SARIMA and VARMA modeling for mulitvariate time series in R.
Text-Analysis
Collection of research projects developed in R for a text analysis course. Projects focus on core text analysis methods such as keyness, dispersion, MDA, etc.
cbrightly1's Repositories
cbrightly1/36-650
Statistical Computing Repository
cbrightly1/capital-bikeshare-data-mining
Data mining process for a group project about the Capital Bikeshare data. Developed in Python using Jupyter Notebook.
cbrightly1/cbrightly1
My personal repository
cbrightly1/fnb-customer-segmentation
This project used a Kmeans after PCA model to segment retail customers to optimize marketing efforts. When the model repeatedly returned a single cluster, the model was used to prove the customers' homogenous characteristics. Influenced the bank's marketing strategies and initiatives. Developed in Jupyter Notebook with Python for FNB.
cbrightly1/fnb-leadgen
This project uses a logistic regression model to develop a cross-sell list with current mortgage customers. Developed in Jupyter Notebook using Python for FNB.
cbrightly1/ggplot-project
This project was a replication of a FiveThirtyEight Visualization using R's ggplot package.
cbrightly1/housing-prices-project
Predicting market housing prices by testing algorithms taught in an intermediate data science course. Developed in R.
cbrightly1/latex-test
cbrightly1/stackoverflow-time-series
A time series analysis of the StackOverflow question counts for popular data science topics. Includes SARIMA and VARMA modeling for mulitvariate time series in R.
cbrightly1/Text-Analysis
Collection of research projects developed in R for a text analysis course. Projects focus on core text analysis methods such as keyness, dispersion, MDA, etc.
cbrightly1/permutations-experiment
This was an experiment of a 2-sample permutation or randomization T-test with a small pre-and post-survey. The client had a small sample (n<30) and the experiment informed the research results.