Synchromesh Profile Scanner:
Developed an Automated defect detection and measurement system which detects and accurately measure the defect occurred in any part in any stage of testing by implementing the machine learning alongside image processing.
Helped company save almost 93% of manual labour in a repetitive task with an overall accuracy of 90%.
Build and deployed the app as an event triggered pipeline by implementing partial CI and full CD pipeline which leads to clean and robust workflow .
User Logs Analysis and Dashboarding:
Analyzed and visualized the user logs data to detect the anomaly and many other important factors.
As an effect it leads to pinpoint the issue correctly and efficiently through Root Cause Analysis leading to increase in user satisfaction more than 50%.
It helps understand the app usage trends and frequencies which helps us monitor the app’s performance and further modify, optimize and monitoring app.
Vehicle Telematics Analytics:
Created an automated data analysis and report generation pipeline which can take the raw files process them and return the report containing the required and necessary data.
Leading to better visualization and better understanding of data leads to clean and optimized workflow.
Reduction of time taken in these repetitive task leads to 70% optimized workflow.
Setup logging for better track of error and result generation and performance.