Full stack Data Scientist with 5+ years of rich experience on various end to end machine learning and deep learning product life cycles ranging from data collection to Hosting it to a web service. Good knowledge of applied statistical skills, and a clear understanding of Recurrent Anomaly Detection, Machine Learning algorithms, such as K-Means, PCA,SVM, xgboost algorithm, Linear and Random Forests. Ability to apply statistical or data mining techniques to solve real problems by using multivariate analysis, generalized. Regression models, tree-based classification models, and other modern data mining and predictive modeling techniques. Familiar with deep learning models like CNN Object detection, Semantic Segmentation, Instance Segmentation(YOLO, SSD, UNet, YOLO Act, Mask RCNN) and RNN (LSTM & BLSTM) and data preprocessing techniques for image, audio and text data and building model pipeline for deployment in production.
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