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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+