Data Science professional with ~9 years experience in Risk Analytics, Finance Analytics & Contact Centre Analytics. Responsible for converting business problems into analytical problems and apply suitable analytical solutions. Helping clients to identify new areas of business where Machine Learning & Natural Language Processing can be applied. Skillsets: • Machine Learning : Linear Regression, Logistic Regression, Clustering, SVM, Decision Trees, Random Forest, XGBoost, Time Series • Natural Language Processing : Sentiment Analysis, Text Mining, Text Classification, NER, Topic Modelling, Text Summarization, Text Similarity, Transformers • Deep Learning : ANN, CNN, RNN, LSTM • Auto ML Frameworks : H2O AutoML, AutoViML, PyCaret, AutoViz, AutoNLP • Programming Languages : Python, R • Microsoft Azure ML Studio • Data Visualization Tool : Power BI • Database : PostgreSQL, MySQL • Web Framework : Flask , Streamlit • Deployment : Heroku, Azure • Cloud : Microsoft Azure, IBM Cloud Client project experience in Data Science & Analytics, Business Intelligence, Data visualization, Hypothesis Testing, Descriptive, Predictive and Prescriptive Analytics. Experience in developing interactive dashboards using Power-BI. Adept in all stages of development and testing methodologies and cycles. Working experience in various development and testing tools like HP ALM, LoadRunner, ClearQuest, GIT, Autosys, Feedhub, IBM RTC, RRC. Acquainted with Banking, Financial Billing, Payment, Cheque processing and GL activities. Dedicated in work and passionate in working any challenging domain and technology.