·        Machine Learning: Regression (Linear, Multiple, Polynomial Regression) Classification (Binary, Multinomial, Ordinal,K-NN, Naive Bayes) SVM, Decision trees, Random Forest, Cluster Analysis (K-Means, Hierarchical)Apriori,Eclat,NLP,Deep Learning (Using Neural Network),Time Series Analysis.

·        Analytical Skills: Python ML, Excel

·        ETL Tools/Database: SQL/PostgreSQL

·        Visualization: Tableau