- Responsible for discovering insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals
- Drive continuous improvement of data science and analytics by researching industry best practices and incorporating it to our company
- Good expertise in data analytics, data cleansing and data enrichment.
- Build Solutions that identify intent and other features from user comments, chat transcript and other unstructured text data.
- Experience of design, building and deployment of ML/NLP Solutions
- Hands on with Deep learning frameworks like Keras, Pytorch, Tensorflow
- Work experience in ML / AI / NLP / Deep Learning and Reinforcement learning/ Behavioral Analytics is a distinct advantage.
- Good Expertise in Artificial Neural Networks, SVM, Random Forrest, Gradient Boosting, Predictive modelling, time series, hypothesis testing, factor analysis, and deep learning.
- Background in complex modelling and advanced analytical techniques
- Exposure to Big Data platforms like Hadoop, spark, hive etc and databases like PostgreSQL is desirable
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