Data Scientist at Capital One Skills: • Tools - Python (NumPy, Pandas, Scikit-Learn), R, SQL, SAS Enterprise Guide, VBA, MS Office • Big Data Platforms - Hadoop, Hive, Spark, Pig, AWS • Supervised Machine Learning - Linear Regression, Logistic Regression, Decision Tree, K-Nearest Neighbor, Support Vector Machine, Random Forest, Boosting methods, Neural Networks (CNN, RNN, LSTM) • Unsupervised Machine Learning - Association Rule Mining, Latent Dirichlet Allocation, Clustering techniques like k-means, k-prototype, DBSCAN, Gaussian Mixture Model and Hierarchical clustering