* Created customized tableau dashboards for effective reporting and visualizations.ĬHATBOT * Developed a user friendly chatbot for one of our Products which handle simple questions about hours of operation, reservation options and so on. * Created heat map of terms by survey category based on frequency of words * Extracted Positive and Negative words across all the Survey categories and plotted Word cloud.
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Performed sentiment (Positive, Negative & Neutral) and time series analysis on customer comments across all 4 categories. TEXT ANALYTICS - MOTOR VEHICLE CUSTOMER REVIEW DATA * Received customer feedback survey data for past one year. MULTIPLE DATA SCIENCE AND ANALYTIC PROJECTS (USA CLIENTS)
Matplot lib, Tableau dashboard for reporting. Tools & Technologies: Python, scikit-learn, tfidf, word2vec, doc2vec, cosine similarity, Naïve Bayes, LDA, NMF for topic modelling, Vader and text blob for sentiment analysis. Developed the classifier models in order to identify "red flags" and fraud-related issues. * TAR assists in predictive coding, topic modelling from the evidence by following EY standards. Worked on analyzing the outputs and precision monitoring for the entire tool. * 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. * 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. TAR (Technology Assisted Review) assists in accelerating the review process and run analytics and generate reports. Python- Exprience - 24 monthsCompany Detailsĭescription - Fraud Investigations and Dispute Services Assurance * Others: Regular Expression, HTML, CSS, Angular 6, Logstash, Kafka, Python Flask, Git, Docker, computer vision - Open CV and understanding of Deep learning.Education Detailsĭata Science Assurance AssociateData Science Assurance Associate - Ernst & Young LLPSkill Details * 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.
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