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Detailed Job Description:

Proficient understanding of machine learning algorithms like linear regression, logistic regression (generalized linear regression), random forest, XGBoost, KNN and SVM and K Means Clustering Good Experience with Machine Learning, Regression Analysis, Clustering, Boosting, Classification, Dimensionality Reduction Techniques like Principal Component Analysis Excellent knowledge in creating Databases, Tables, Stored Procedure, Views Excellent experience in the field of Data Science and Data Analytics and Modeling, with expertise in the technologies of R, Python, SAS, Excel, SQL and Salesforce Knowledge and understanding of various Machine Learning Algorithms like General Linear Models, Support Vector Machines, Clustering, Classification, Decision Trees, Random Forests, Basic Statistics Data Visualization knowledge of visualizing data using tableau, spotfire and also brief background understanding of Big Data terminology Experience using PYTHON & R packages like dplyr, tidyr, ggmap, caret, forecast, SnowballC, wordcloud, corrplot, rpart, reshape2, ggplot2, tm, Scikit-Learn, StatsModels and MatPlotLib Skilled in providing analytic support including data importing, data wrangling and data visualization Experience in using ETL, SQL, PL/SQL and effective DDL/DML Triggers to facilitate efficient data manipulation

Minimum years of experience*: 5+