• As company’s central automation team member finding the opportunities of automation into different accounts. Then building the same end-to-end using data-driven approaches• Deployed multiple pre-trained text-classification models as rest endpoints• Winner of the EMNLP 2020, FIFTH CONFERENCE ON MACHINE TRANSLATION (WMT20) competition in the similar language translation task category. Link to the published paper of solution:-… Show more • As company’s central automation team member finding the opportunities of automation into different accounts. Then building the same end-to-end using data-driven approaches• Deployed multiple pre-trained text-classification models as rest endpoints• Winner of the EMNLP 2020, FIFTH CONFERENCE ON MACHINE TRANSLATION (WMT20) competition in the similar language translation task category. Link to the published paper of solution:- https://www.aclweb.org/anthology/2020.wmt-1.52/• Developed an email classification model and deployed it as an add-in in MS Outlook. This helped with quick decision-making about the trading functions Show less

• Maintaining and enhancing big data pipeline for ETL workflow (ingestion, transformation, export) used for dashboard reporting• Successfully migrated the data warehousing workflows from the teradata database to the hadoop environment. This made it scalable for the ever-growing database size in a very cost-effective way• Optimized the data processing (batch processing) run time into hadoop environment from 4 hours to just 40 minutes• Big Data Certifications:… Show more • Maintaining and enhancing big data pipeline for ETL workflow (ingestion, transformation, export) used for dashboard reporting• Successfully migrated the data warehousing workflows from the teradata database to the hadoop environment. This made it scalable for the ever-growing database size in a very cost-effective way• Optimized the data processing (batch processing) run time into hadoop environment from 4 hours to just 40 minutes• Big Data Certifications: https://www.credly.com/users/amanpreet-singh.3edf048e Show less

• Maintaining the health of 402 servers (Unix / Linux, Windows) to ensure MQ (IBM Message Queuing) services are operational all the time• Automated the process of manually logging into the servers and performing troubleshooting activities of MQ components (queue managers, queues etc.), by building a desktop-based UI• Automated the process of running manual, periodic health-checks on the servers. This reduced the 90% manual effort for doing the same otherwise