Abinaya

Experience working in Predictive Modelling, NLP, Statistical Modeling, Time Series Analysis, with large structured and unstructured datasets. <br/> Hands-on experience in Deep Learning libraries such as Keras, Advanced Flavours of DL models such as MLP, Recurrent & Convolutional Neural Netoworks. <br/> Impeccable knowledge on Cross Industry Standard Practice for Data Mining (CRISP DM) and best practices for Data Sciences. <br/> Knowledge on R, Python, MS Excel, Tableau, Qlik and KNIME for Statistical modeling, Predictive modeling & Data Visualization. <br/> Good in conceptual and practical knowledge on Analytical approaches such as Classification, Regression, Clustering & NLP techniques such as Sentiment Analysis, Text Classification, Opinion Mining, Topic Modeling and Feature Selection <br/> Conduct workshops and seminars on Data Science Practise to interested. <br/> Strong desire to learn new concepts and tools, thereby adapting to the latest and emerging trends in the industry. <br/> Have blend of experience in Big Data, Data Science and DevOps.