DevOps Practices and Tools
patterns in complex data sets.
-Filter and "clean" data by reviewing computer reports, printouts
Experience with DevOps Practices and Tools Write clean and efficient code Debugging and troubleshooting
Key Accountabilities and Responsibilities: Write “clean”, well-designed code Produce detailed specifications Key Accountabilities and Responsibilities: Write “clean”, well-designed code Produce detailed specifications
Responsibilities: Ability to do routine data cleaning and analysis tasks Identify patterns and correlations (Logistic regression, random forest, etc) Data cleaning and pre-processing (Size, data distribution, imputation
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enhancements in React based web applications Write clean, efficient and maintainable code Develop reusable
checks and reconciliation tasks.
diagrams and code comments in order to produce clean code System Analysis Work within best practices
for maximum speed and scalability.
- Write clean, maintainable, and efficient code in Python and