Skills

Programming Languages

• R

• Python

• SQL

• C

• Java

Visualization Tools/Database Management/Other

• Power BI

• Tableau

• AWS S3, SageMaker, Athena

• Snowflake

• MySQL

• Databricks

• Git

• Excel

• TeX

• Alteryx

• UiPath

• Adobe Analytics

Machine Learning Models

• regression analysis (simple/multivariate linear regression, polynomial regression, logistic regression, ridge/lasso regression, kernel regression, generalized additive models)

• tree-based models (decision trees, random forests, gradient boosting)

• clustering (k-means clustering)

• support vector machines

• k-nearest neighbors

• artificial neural networks (FNNs, CNNs, RNNs, GANs)

• transformers

Statistics/Data Science

• data pre-processing

• data visualization

• data management

• principal component analysis

• probability distributions

• multivariate analysis

• experimental design

• survey design

• hypothesis testing

• parametric and non-parametric tests

• resampling

• time-series analysis

• stochastic modeling

• natural language processing (sentiment analysis, topic modeling)

• kernel density estimation

Mathematics

• calculus

• discrete mathematics

• linear algebra

• abstract algebra

• differential equations

• probability theory

• real analysis

• complex analysis