This project mainly deals with Automation code development in Python for all these 3 features like Android platform testing, Extracting android app info, latest apk version update using issues tracking tool. Language: Python

This project mainly deals with bug fixing various Android application like settings and Notification Manager, Systemui and applications in Upgrade Motorola phones. Most of the issues we got in CRASHES & ANR in those apps, these crashes due to exceptions. Few issues in User interface. Some issues are other area issues like Google issues, so we need to analysis the issue through logs, because many issues are not reproducible from our side. Key Result Areas: Fixed the bug for this project Reviewed/ inspected documents & code Performed the Unit testing for all test case scenarios against new code changes

In LG, the Brach will be present in Korea HQ server and for the event the branch is created in the LGSI server. So, the developers need to deliver the changes in HQ server and cherry-pick the changes to event branch. So, the developer needs to cherry-pick manually. To make it automatic the script is developed which will do the cherry-pick and upload to Gerrit. Key Result Areas: Implemented the script for cherry-pick from different Gerrit servers to target the Gerrit server Participated in the testing the script Attained feedback from different domain developers

G3 is the premium models from LGE. In the G3 the CUPSS concept is introduced. The CUPSS means Customization Partition for Single Binary Structure. In this the separate the partition will be created for each operator customization. The Core Partition (Android, Modem) and each cupss partition will become single binary. So no need to change the Core partition for each operator versions. This will avoid maintaining the separating build structures (separate products) for each operator versions.

Service- now tickets automation process for vendor queries. To classify the mails based on the queries then find the intention of the queries and fetch the solution and sent mails to the customers

Jira issues log analysis automation process for x86 Android and chrome devices. To classify the labels based on old history issues logs and updating the labels in Jira.

To classify the mails based on Compliant and Non-compliant case type then extracting client required attributes and provide all attributes details to client. Based on case type and attributes Client replied to customer mails.

In Mail Digitization client is sharing different Po Box mail and in that Po Box they have a different queue to which the mail belongs. Client want to classify the document according to the Bible shared by them so that they can reduce the manual work and resolve the issue of the customer according to their grievances.