Data Scientist with >5.5 years of experience in executing data driven solutions. Creating cutting edge and state of the art Deep-Learning models to deliver insights and implement action-oriented solutions to solve complex business problems with finance and healthcare domain experience. Highly passionate about Machine Learning, Deep Learning, NLP and Data-Analytics.Certifications: Applied Al(Acquired by Scaler Academy)Projects worked on --Time series prediction, Data Analytics, Predictive modelling, Anomaly detection, Outlier flagging, Image classification, Object detection, Recommendation engine, Sentiment Analysis on reviews.Skills -- Python, Pyspark, Sql, Excel, Tableau, R, Statistics.Techniques -- CNN, RNN, LSTM, LIME, Word embeddings- Bag of words, TFIDF, Word2vec, Glove, BERT, Transfer Learning, EWMA, ARIMA, SARIMAX.Classical ML -- Logistic regression, Random forest, SVM, Decision Trees.Libraries & Frameworks-- Sklearn, Tensorflow, Gensim, NLTK, Matplotlib, fast.ai, fbProphet, Spark, Keras, Pandas, Numpy.