Working as a Data Scientist(Machine Learning, NLP and Video analytics) Key Responsibilities:- Apply machine learning techniques to solve predictive analytics problems - Extensive experience in Neural network and Deep Learning area. Used different type of NN architecture Feed forward, Recursive, Recurrent network, CNN, Autoencoder to solve customer problem- Build NLP solution using machine learning model for financial consulting domain- Develop deep learning neural… Show more Working as a Data Scientist(Machine Learning, NLP and Video analytics) Key Responsibilities:- Apply machine learning techniques to solve predictive analytics problems - Extensive experience in Neural network and Deep Learning area. Used different type of NN architecture Feed forward, Recursive, Recurrent network, CNN, Autoencoder to solve customer problem- Build NLP solution using machine learning model for financial consulting domain- Develop deep learning neural network solution to solve Image/Video analytics problem for media domain - Used Neural network to solve Text analytics problems for customer- Feature engineering on Text, Image, Video data- Used Tensorflow, Theano, Python, Java to implement solution/ML model Show less

Key Responsibilities: - Apply Predictive Modeling/Machine Learning on critical business areas.- Propose and implement analytics solutions for Insurance domain- Design and development of Business intelligence solutions- Completely Hands-on and finish end to end Predictive solution for Customers- Handle both Structured and Unstructured data and develop predictive model for customer- Train juniors to grow as a Statistical data analyst

Responsible for design & implementation of Cognizant’s proprietor product & also enhancing the existing algorithms in the product. Gaining expertise in selected areas of Text Mining,Text analysis platform design and implementation, Natural Language Processing (NLP) and Machine Learning like Sentiment Analysis, Topic Extraction, Content Filtering & document ranking using LDA, unsupervised Clustering techniques, Text summarization, simple information extraction, document classification… Show more Responsible for design & implementation of Cognizant’s proprietor product & also enhancing the existing algorithms in the product. Gaining expertise in selected areas of Text Mining,Text analysis platform design and implementation, Natural Language Processing (NLP) and Machine Learning like Sentiment Analysis, Topic Extraction, Content Filtering & document ranking using LDA, unsupervised Clustering techniques, Text summarization, simple information extraction, document classification using SVM, Logistic regression, Random forest, decision tree techniques, unsupervised feature reduction technique, Joint topic sentiment modeling, Subject-predicate-object triple extraction from text etc. Responsible for going through state of the art research papers in the area of NLP & selecting the appropriate research work/paper that leads to visible impact in improving the product quality & its feature enhancements. Designing parallel algorithms over map reduce framework to run compute intensive algorithms in NLP and machine learning to speed up the application. Experienced in Python(Scikit Learn), R programming for quick data analysis and verification. Translate business requirements to HLD & Technical designs, provide estimates & guide the team through the implementation. Show less