Machine Learning - worked on multiple POC's like Anomaly detection in Authentication Logs (One Class SVM), Single metric Anomaly detection in time series data (RNN with GRU), Phishing classifier (Random Forest), DGA classifier (RNN with LSTM), Sentiment analysis (Naive base, logistic regression,pytorch (Shallow neural network)), rule based chatbot, DATA ANALYSYS,R Python , R Sas , GPU Architecture. Design and architect the complete data pipeline (data sources (Filebeat, Metricbeat, syslog server, RestAPI), Logstash (Data Modeling, Data parsing, input/output operations), Kafka (Streams,KSQL, Messaging queue), Elastic Search (Indexing, searching, DSL query), MongoDB, MySQL, Amazon S3,Kibana (Visualization, graphs, Charts, EDA)) In-depth knowledge of statistical procedures, predictive analytics, descriptive analytics, clustering, K-means clustering, decision tree, random forest trees, linear regression, logistic regression, supervised and unsupervised machine learning models , SQL, SAS Macros, SAS dataset creation & management, PROC Reports, Data analysis using R language, Python, NumPy, SciPy, Pandas, SciKit Learn.