• 5+ years Industrial experience in driving business value using advanced Data Science/Analytics, Machine Leaning, Artificial intelligence techniques by leveraging on python, pyspark, SQL and applying deep learning methods to solve business problems using TensorFlow, Keras, Sklearn libraries.• Experience of implementing various NLP/ML models: RNNs, ANN, LSTMs, Sequence models, text-numeric-categorical multi input functional hybrid models, CNNs for text classification and XGboost, SVM, KNNs, Logistic Regression.• Effective collaboration with stakeholders, understanding their business needs to provide solutions.• Guiding new joiners and mentoring interns to manage their daily tasks.• Developed a Very Deep CNN model to predict whether medical charts contain evidence of the Disease, which potentially helped close over millions dollars gap in savings by identifying missing diagnosis.• Created a text-numeric-categorical complex NLP/ML functional tensorflow model with different modalities multi-inputs layers, accommodate structured & unstructured input data to classify provider enablement.• Developed and deployed a text extractor framework to fetch text sections from multiple documents to generate contract for providers using docx library, eventually replacing the legacy systems• Built text classifier using LSTM to identify the over/under payments for the claims, managed to save huge amount.• Implemented XGboost risk model for providers assessment with incorporation of mlflow for hyperparameter tuning.• Created few end to end scalable ETL pipelines using pyspark and python which eventually reduced the overall risk scores prediction and delivery time by almost 50%.• Experience of writing complex SQL queries against huge databases.• Built Tableau dashboards working with BI team. Built webapps using flask, python, html bootstrap. Also designed and developed more than 20 web dashboards using python, plotly dash, dash components including covid dashboard.• Worked with advanced tools: Jupyterlab, Databricks, IQstudio, Spyder, RStudio, Tableau, DBeaver, Airflow, GIT.• Completed Certification courses in Python, Pyspark, SQL, LSTMs, Deep Learning, NLP specialization, R, Dashboards.• Carried out a research on forecasting of solar radiation using Machine Learning (ARIMA, TBATS models), further predicted solar electricity generation using the forecasted solar radiation (Thesis).