Big Data and Engineering and Data Science and Data Engineering

• more than 22 years of total experience in the field of information technology both onsite offshore experiences. • core strengths: deep learning, artificial intelligence (ai), machine learning libraries( scikit learn, tensorflow, spacy, keras ), big data/hadoop and spark (scala)echo system, kafka/real time analytics, solution architecture, and, technical architecture, systems integration specialist have very good experience in both classical prediction, regression and classification models and advanced classification models such as deep learning and prediction models such as cnn, rnn, lstn techniques. support all business areas with critical data analysis that helps client’s business to make profitable decisions. as a forecast expert, business analyst or team lead , utilize tools like decision. strategic planning and execution • define and interpret problems, and provide solutions to business problems using data analysis, data mining, optimization tools, and machine learning techni