Mesfin Gebeyaw

Advanced Analytics Professional at the Enterprise Analytics & Artificial Intelligence of the U.S. Bank. · Minneapolis, MN

Mesfin is an advanced data analytics professional at the Enterprise Analytics & Artificial Intelligence of the U.S. Bank. His skills include data science, statistical data analysis and programming in R, Python and SAS (predictive modeling, unsupervised machine learning, prescriptive analytics, multivariate statistics, text analytics and data visualization in support of data-driven strategic decisions).

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Mesfin Gebeyaw

Latest articles

Parsing HTML and Applying Unsupervised Machine Learning. Part 3: Principal Component Analysis (PCA) using Python

Parsing HTML and Applying Unsupervised Machine Learning. Part 2: Applied Clustering Using Python

Parsing HTML and Applying Unsupervised Machine Learning. Part 1: HTML Processing using Python

Selecting Categorical Features in Customer Attrition Prediction Using Python

Understanding Customer Attrition Using Categorical Features in Python

Parsing Text for Emotion Terms: Analysis & Visualization Using R: Updated Analysis

Unsupervised Learning and Text Mining of Emotion Terms Using R

Parsing Text for Emotion Terms: Analysis & Visualization Using R

Using MCA and variable clustering in R for insights in customer attrition