Vallem B.

Engaged with the customer targeting teams to provide advanced analytical solutions using SQL, Python & Tableau. ● Expert in Machine learning algorithms Decision Tress, SVM, PCA, Linear Regression, Logistic Regression, KNN, K-Means, Random Forest, XGBoost etc. ● Models used: Logistic regression, Naive Bayes, SVM, Neural Networks, XGBoost, Random Forest, SGD classifier, RNN with bidirectional LSTM, CNN. ● Regression (Linear regression, Multiple Linear regression, Polynomial and Regularized Regression - Lasso, Elastic Net and Ridge) ● Classification (Logistic Regression, k Nearest Neighbors, Decision Trees, SVM, Ensemble methods - Bagging and Boosting) ● Clustering (Hierarchical, k-Means and PCA) ● Pre-processing: Tokenization, Stop word removal, Regular Expressions. ● Libraries used: Pandas and NumPy for Data processing, Keras and Tensor for Deep Learning, Seaborn for Visualization. ● Built Machine Learning solutions using Python libraries. ● Have got hands-on experience on structured and unstructured data. ● Worked on Natural Language Processing and Text Mining. ● Practical knowledge of Statistics and Probability.