Datascientist with 1 year experience in building MachineLearning and DeepLearning models.

Skillset:
-Good Hands on programming knowledge in Python and R
-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, Naive Bayes, Ada Boost, Gradient Boost, XGBoost.
-Clustering: K-Means, Agglomerative
-TopicModelling: GuidedLDA
-DeepLearning: ANN, CNN, R-CNN, Fast R-CNN,Faster R-CNN, Mask R-CNN, YOLOv3, Inception V3, RNN, GRUs, GANs, Siamese Network, FCN, Unet, Enet, Segnet, Deeplabv3, ICNet
-Time Series Forecasting: ARIMA, ARIMAX.
-Recommendation Systems
-Natural Language Processing
-Frameworks: Keras, Tensorflow, Pytorch
-Libraries: OpenCV, Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly, Cufflinks, skimage,pydicom,glob,PIL