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