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Subhargh Mazumder

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AI, Data Science, Distributed Systems and Products specialist, experienced in building large scale machine learning applications, data-driven product management & analytics. Languages & Platforms: Scala, Spark, Python, R, MySQL, C, C++ Techniques: Linear Regression, Logistic Regression, Bagging, Boosting, Random Forests, Gradient Boosted Trees, Deep Neural Nets (DNN), Convolutional Neural Nets (CNN), Recurrent Neural Nets (RNN), Natural Language Processing (NLP), Naive Bayes, Bayes Nets, Bayesian Optimization, Probabilistic Graphical Models, Clustering, Spectral Methods, Time Series Analysis Technologies: MySQL, PostgreSQL, Spark, Hadoop, HDFS, Redis, MongoDB, DynamoDB, Cassandra, Amazon Redshift, AWS Lambda, Amazon Kinesis, Apache Kafka

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