Description: • Understanding and translating business requirements into typical data science solutions. • Designing, developing and optimizing analytical applications for structured and unstructured data and end-to-end implementation of modelling lifecycle. • Implementation of machine learning or deep learning algorithms such as Regression, Classification, Decision Trees, Random Forest, Boosting, Clustering/Segmentation, SVM, Artificial Neural Networks, Convolution Neural...