• 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.