Data Science Portfolio

Please feel free to click on the project titles below and view examples of my work.

Github Project Folder Structure:

1. Cleansed Datasets - contains Cleansed, Prepared Datasets from the analysis
2. Explanations - contains Explanations of the analysis
3. Exported Models - contains Final Exported Models of the analysis
4. Jupyter Notebooks - contains all Code in Jupyter Notebooks (Python-Only) and PDF/Markdown/Script files (R-Only)
5. Raw Datasets - contains Raw Datasets used in the analysis

Business Intelligence

1. Tableau
   • Telecom Company Churn Dashboard
2. Power BI (Coming Soon)

Machine Learning

1. Sentiment Analysis
   • NLTK & TF Sentiment Analysis on Amazon Reviews
   • USE Sentiment Analysis on Amazon Reviews
   • Natural Language Processing on Disaster Tweets
2. Supervised Learning
   • Classification
     • KNN on Telecom Churn Data
     • Random Forests on Telecom Churn Data
   • Regression
     • Linear Regression on LA Airbnb Data
     • Linear Regression on PA Population Data
     • Linear Regression on Telecom Churn Data
     • Logistic Regression on Telecom Churn Data
   • Time Series & Forecasting
     • TSA on Telecom Revenue Data
3. Unsupervised Learning
   • Association
     • Market Basket Analysis on Telecom Product Data
   • Clustering
     • KMeans EDA on Telecom Churn Data
   • Dimensionality Reduction
     • Principal Component Analysis EDA on Telecom Churn Data