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| Job Location | Chennai |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Automobile / Auto Ancillaries |
| Functional Area | IT Operations / EDP / MIS |
| EmploymentType | Full-time |
Mission
Create multiple data visualization systems with accurately informative visuals and easy to use UI
Use text and data mining techniques to extract essential information from test reports
Make accurate statistical predictions with machine learning algorithms and statistical analyses
Responsibilities
Create multiple data visualization systems with accurately informative visuals and easy to use UI
o Query data from multiple data sources (Google Cloud database, SAP, MS SQL etc) and combine them into a single table
o Group clean the data and prepare data for statistical analysis
o Use R programming and perform advanced statistical analysis and create interactive plots for Weibull, Log normal and other advanced statistical distributions
o Use visualization tools like Rshiny to publish visual apps within Valeo organization
o Maintain the R server and ensure continued availability of the data visualization system with 100% uptime
o Time to time find and resolve bugs in the visuals and UI
o Learn new visualization tools like Tableau / Power BI depending on business need
Use text and data mining techniques to extract essential information from test reports
o Extract test results data from test reports stored in Word and PDF formats
o Use advanced text mining techniques for faster and accurate data extraction
Make accurate statistical predictions with machine learning algorithms and statistical analyses
o Use data mining and text mining skills to extract required information from complaint database
o Group and categories data by country, region, location, year, model, customer etc.
o Perform predictive statistical analysis using machine learning algorithms like Regression
Analysis (Linear, Logistic and Polynomial), Decision Tree, Decision forest and Time series analysis
o Improve forecasts predictions from time to time by exploratory analysis techniques and studying sensitiveness of the predictive variables
Education/Training
BE Information Technology, Computer science
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Keyskills :
ansyscustomer relationssafetyaptms sqlpower bidata miningtext miningtime seriesdata analysisdata extractioncomputer sciencemachine learningdata visualizationstatistical analysisinformation technologyr programming