Projects Developed: Image Processing, OCR, Churn Prediction, Face Recognition, Fraud Detection, Sentimental Analysis, Credit Underwriting, Entity tagging, Insurance claim prediction, Biometric Authentication, Computer Vision, Image Classification, First year claim prediction in insurance, Price prediction model, template matching, Chatbot, campaign recommendation Areas: NLP, Time Series analysis , Deep Learning, Statistics, OCR, OpenCV Statistical Learning Expertise: Feature Engineering while taking care of data leakage by finding weight of event and information value taking care that target encoding id one in right way avoiding bias and any kind of leakage. Machine Learning: Unsupervised Learning: PCA, K-means & Hierarchical Clustering, Auto-encoders Model Building: Python (Numpy, Pandas, Scikit-Learn, Theano, Keras, Tensorflow and BeautifulSoup, Tesseract) Visualization: Python (Matplotlib, Plotly), Kibana, d3.js RDBMS: MySQL, ArangoDB, Cassandra Cloud Computing: AWS, Microsoft Azure Version Control: GIT , Bitbucket