Anusha Spandana

Statistical analysis of pre processed ultrasonic sensor data to derive a methodology to derive optimal set of training data for machine learning based classification models.

I was responsible for maintenance of the Splunk dashboards. My role included developing panels for the dashboards, developing filters for the dashboards and knowledge transfer of various dashboards.

As a Project Intern at Global delivery|Robotics and Cognitive Automation team , (Global In-house Centre of Schneider Electric) , I was given to study the various applications of Machine Learning , and also be able to choose and apply a specific model to solve the Use-case of Problem Management team. I was also expected to learn R , an open source programming platform to be able to implement the model and present the accuracy results to the business team.

- Worked with projects related to Atlassian tools like BitBucket, Trello, Confluence and Sourcetree. - Worked projects with Unity, LeoCad, JUnit5, Spark, Java during the course. - As part of course conducted projects about machine learning &AI, Real time systems, leadership skills, Agile way of working, product quality &mgmt.

In the course, I gained knowledge about Cloud computing, storage area networks, cyber security, advance database management.