- Ghaziabad, IN
- $30 /hr
- Available now
Experienced professional in various aspects of data science including data analysis, data mining, data cleansing and working on huge datasets.
Exhaustive experience in workingmore...Experienced professional in various aspects of data science including data analysis, data mining, data cleansing and working on huge datasets.
Exhaustive experience in working with R statistical package.
Experience in working on statistical concepts, such as Regression, Hypothesis, variable selection, etc.
Experience in working with dimension reduction such as SVD and PCA.
Have worked with various machine learning algorithms such as Linear Regression, Logistic Regression, Support Vector Machines, Random Forests, K Nearest Neighbours and Gradient Boosting Models (GBM).
Have worked with creating R Markdown scripts and presenting data analyses.
Have experience in various packages in R including plyr, e1071, caret, randomForest.
Experience in visualization tools such as ggplot2, Tableau and Qlikview.
Have experience in working with Big Data technologies, Hadoop, Pig, Mapreduce and Hive.
Expertise in writing T-SQL Queries, Dynamic-queries, sub-queries and complex joins, Stored Procedures, Triggers, User-defined Functions, Views and Cursors.
Experience in machine learning algorithms and developing use cases related to them for advance analytics solutions. Experience in using R statistical language for implementing K Means, Clustering, multivariate linear models and Random forest models.
Have extensive experience in delivering projects in BI and data warehousing for large retail clients involving various technologies.
Have proven track record of delivering in new technologies with little or no prior experience and have flair of learning new technologies.
Have experience in virtual team coordination employing method of scrum of scrums.
Experience in project planning, execution, monitoring and resource balancing skills with ability to support multiple simultaneous projects.
Have extensive experience in working in offshore onshore engagement and transitioning work offshore in various technology and domain.