Programming Languages: Python, R, SQL
Supervised and Unsupervised: XGBoost,Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks,Tensor Flow,Linear Regression, Logistic Regression, Random Forests, Decision Trees, K-NN, Naive Bayes, K-Means.
Dimensionality Reduction Techniques : Principle Component Analysis (PCA).
Model Evaluation / Engineering: Cross Validation,Hypothesis Testing, Activation Functions, Regularization (Lasso and Ridge Regression), Feature Selection methods, Feature Scaling.
Python Programming Skills: Keras, Pandas, Numpy, scikit-learn, SciPy, Seaborn, matplotlib.
R Programming Skills: MICE, CARET, Dplyr, GGplot2.
Data Visualization: AWS Quicksight, Tableau, Weka,STATA,Looker,Google Analytics
Database Servers: MySQL, Red Shift.
Amazon Web Services: EC2, Lambda, Sage Maker, S3, Quick Sight, API Gateway, Athena, Recognition, Cloud Formation, Cloud Watch, Glacier, IAM
Cloud Platform: AWS
ML Platform: AWS Sagemaker
Tools: Jupyter Notebooks, Rstudio, Git, Anaconda, Excel
Project Management skills : JIRA, Agile Methodologies
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