Datascientist with 1 year experience in building MachineLearning and DeepLearning models. Skillset: -Good Hands on programming knowledge in Python -Knowledge of Data Visualization in Tableau -Hands on experience in building different Machine Learning and Deep Learning Models -Regression: Linear Regression, Random Forest Regressor, SVM Regressor, Decision Tree Regressor. -Classification: Logistic Regression, SVM, Decision Tree, Random Forest, Ada Boost, Gradient Boost, XGBoost. -Clustering: K-Means, Agglomerative -DeepLearning: ANN, CNN, R-CNN, Faster R-CNN, YOLOv3, RNN. -Time Series Forecasting: ARIMA, ARIMAX. -Recommendation Systems -Natural Language Processing -Frameworks: Keras, Tensorflow, Pytorch -Libraries: Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly, Cufflinks. ©