• Possess 6.5 Years of professional IT experience. • Well versed with Machine Learning (NLP) algorithms & Predictive Modeling. • Proficient in Big Data ecosystems (Azure, AWS, Pyspark, ElasticSearch, Hadoop, Hive, Sqoop, Kafka, Airflow). • Worked on Risk Assessment for an Insurance client, where the target label was Imbalanced. • Hands-on experience with Python (NumPy, pandas, scikit-learn, Tensorflow, Keras). • Proficient in Data warehousing, and also have a very good understanding of ETL concepts. • Improved and designed NLP models for Classification, Topic Modeling & Text Summarisation. • Developed a Model Serving Pipeline that can integrate multiple models to serve multiple prediction requests using REST APIs. • Collect, clean, validate data, prepare it for training. • Good knowledge of Neural Networks: RNN and LSTM, Attention, Coverage and Pointer Mechanisms • Experienced in working with CI/CD pipelines and using them to put ML Models into production.