Ahsan Bilal

Data Pipeline Design and Implementation in Apache Spark to process and analyze real datasets with 0.74 million features. Horizontal and Vertical data partitioning. Finding the most relevant features. Achieved 97% accuracy with just 0.41% selected features (i.e. 3040) out of all 736990 features. Successful completion of the research work led me to derive, publish and present two international conference papers.

Requirement Analysis, Root cause analysis of issues, Test planning and relevant documentation. Handling multiple Projects, Working in an Agile environment, Daily scrum meeting. Participate in risk management and project planning meetings. MySQL and SQL Server database maintenance backups & restore. Develop, implement, and maintain test cases in Java (Selenium) to ensure the accuracy and stability of the applications. Proper logging and escalation of bugs using JIRA.