Automation and Simplification
- Angular : Streamlined ticket resolving process by creating an application to monitor ticket status integrated with workflow functionality. Processing time of tickets improved by 35%.
- R : Optimized search and filter API query time response by integrating Elastic Search and using C# for querying the search engine and writing Rest API’s. Performance of the application was 30% faster.
- Python : Reduced the complaint tickets count by 10% using R programming to perform analytics, text mining and prediction. Developed an interactive website using shiny package charts for Data visualization along with the option of saving the visualized components.
- Drupal : Delivered a tool to simplify the task of querying different databases by providing an option to connect, edit and add the database connections for multiple databases like MySql, MongoDB, Hive etc from a single interface.
- C# : Automated repetitive CRUD tasks on MongoDB for high volume of data by creating a script using C# and XML configuration which resulted in 35% more efficient system then legacy.
- MongoDB : Saved 70% of time by automating Drupal task of fixing coder issues related to maintaining coding standards through a script file.
