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Developed the classifier models in order to identify "red flags" and fraud-related issues.\r\n\r\nTools & Technologies: Python, scikit-learn, tfidf, word2vec, doc2vec, cosine similarity, Naïve Bayes, LDA, NMF for topic modelling, Vader and text blob for sentiment analysis. Worked on analyzing the outputs and precision monitoring for the entire tool.\r\n* TAR assists in predictive coding, topic modelling from the evidence by following EY standards. * Others: Regular Expression, HTML, CSS, Angular 6, Logstash, Kafka, Python Flask, Git, Docker, computer vision - Open CV and understanding of Deep learning.Education Details \r\n\r\nData Science Assurance Associate \r\n\r\nData Science Assurance Associate - Ernst & Young LLP\r\nSkill Details \r\nJAVASCRIPT- Exprience - 24 months\r\njQuery- Exprience - 24 months\r\nPython- Exprience - 24 monthsCompany Details \r\ncompany - Ernst & Young LLP\r\ndescription - Fraud Investigations and Dispute Services Assurance\r\nTECHNOLOGY ASSISTED REVIEW\r\nTAR (Technology Assisted Review) assists in accelerating the review process and run analytics and generate reports.\r\n* Core member of a team helped in developing automated review platform tool from scratch for assisting E discovery domain, this tool implements predictive coding and topic modelling by automating reviews, resulting in reduced labor costs and time spent during the lawyers review.\r\n* Understand the end to end flow of the solution, doing research and development for classification models, predictive analysis and mining of the information present in text data. * Database Visualizations: Mysql, SqlServer, Cassandra, Hbase, ElasticSearch D3.js, DC.js, Plotly, kibana, matplotlib, ggplot, Tableau. * Machine learning: Regression, SVM, Naïve Bayes, KNN, Random Forest, Decision Trees, Boosting techniques, Cluster Analysis, Word Embedding, Sentiment Analysis, Natural Language processing, Dimensionality reduction, Topic Modelling (LDA, NMF), PCA & Neural Nets. 'Skills * Programming Languages: Python (pandas, numpy, scipy, scikit-learn, matplotlib), Sql, Java, JavaScript/JQuery.