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Data Science

$15/hr Starting at $200

|Email Id: SSENTH14@gmail.com/Born : India | Fields : Computer Science | Scientific Career | Possessing around 21 years of relevant experience in variety of technology- technical, process management and quality based experience in Information technology with respect to Retail, Banking Services, Insurance and manufacturing industries . And I have a significant project experience in various phases of project life cycle encompassing initial study, design, development, maintenance, integration of modules, testing and production support. Data Science / Statistics/Machine Learning Exploratory Data Analysis and Confirmatory Data Analysis using Python Supervised learning: Linear/Logistic Regression, Lasso, Ridge, Elastic Nets, Decision Trees, Random Forest, K-Nearest Neighbor, Naive Bayes, Support Vector Machines, Gradient Boosting, Bayesian models, Ensemble Methods Unsupervised learning: Principal Component Analysis, Association Rules, Factor Analysis, Cluster analysis - K-means / Hierarchical, Market Basket Analysis. Statistical tests: T-tests, Chi-square analysis, Correlation tests, A/B testing, Normality tests, Residual diagnostics, ANOVA Python- numpy, pandas, scikit-learn, scipy, matplotlib, seaborn, tensor-flow,Tableau,Knime,RapidMiner,Oracle ERP, OracleSOA,OracleADF,DB2,Lucidworks,Oracle WeblogicServer,ZOS,COBOL,JCL,VSAM,Fileaid,Insync,Control-M,CICS,TOAD,Putty.

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$15/hr Ongoing

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|Email Id: SSENTH14@gmail.com/Born : India | Fields : Computer Science | Scientific Career | Possessing around 21 years of relevant experience in variety of technology- technical, process management and quality based experience in Information technology with respect to Retail, Banking Services, Insurance and manufacturing industries . And I have a significant project experience in various phases of project life cycle encompassing initial study, design, development, maintenance, integration of modules, testing and production support. Data Science / Statistics/Machine Learning Exploratory Data Analysis and Confirmatory Data Analysis using Python Supervised learning: Linear/Logistic Regression, Lasso, Ridge, Elastic Nets, Decision Trees, Random Forest, K-Nearest Neighbor, Naive Bayes, Support Vector Machines, Gradient Boosting, Bayesian models, Ensemble Methods Unsupervised learning: Principal Component Analysis, Association Rules, Factor Analysis, Cluster analysis - K-means / Hierarchical, Market Basket Analysis. Statistical tests: T-tests, Chi-square analysis, Correlation tests, A/B testing, Normality tests, Residual diagnostics, ANOVA Python- numpy, pandas, scikit-learn, scipy, matplotlib, seaborn, tensor-flow,Tableau,Knime,RapidMiner,Oracle ERP, OracleSOA,OracleADF,DB2,Lucidworks,Oracle WeblogicServer,ZOS,COBOL,JCL,VSAM,Fileaid,Insync,Control-M,CICS,TOAD,Putty.

Skills & Expertise

AnalyticsData AnalysisData ManagementManagementMarketingScienceSoftware TestingVector Graphics

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