• Orchestrated ETL workflow automation using Azure pipelines for efficient data extraction from diverse sources, achieving 100% data accuracy and effective visualization, aligning with key business insights.• Optimized high-volume data analysis by refactoring legacy code, cutting runtime from 4 hours to 15 minutes.• Played a pivotal role in directing data and application architecture, facilitating essential dialogue with business and tech teams on product design, system functionality, and aligning business objectives for increased user satisfaction.• Collaborated with database vendors to optimize database structures and problem solving. Optimized data model and query statements to significantly reduce response time from 7 minutes to 30 seconds, thus improving user experience and data accessibility by over 90%.• Initiated and led the development of automated data cleaning, validation, and preprocessing pipelines, boosting data preprocessing efficiency by 30% and contributing to more streamlined workflows.• Managed Git repositories and CI/CD pipelines in Azure DevOps, enhancing team collaboration and refining UAT feedback processes, in line with agile best practices.• Trained and integrated 6 new data analysts, fostering team functionality and effective project delivery, and played a crucial role in steering the application to a successful live launch

- Developed an audio scene recognition model using TensorFlow Lite, increasing accuracy by 30% to improve healthcare decision-making.- Reviewed and tested an AutoML platform for audio recognition, improving software performance by 80% and enhancing data processing.- Transitioned to on-premise gateway systems with Keras, boosting model accuracy by 40% while maintaining data privacy.- Managed Couchbase cloud databases for high-volume data, deploying solutions in five facilities and delivering actionable insights through dashboards.- Applied agile methodologies to lead cross-border teams, ensuring efficient product development and successful deployments.

Interning under PTCL's flagship Experia summer internship programme

Worked as an intern at Robotics and Intelligent Systems Engineering. Qualified for RoboCup 2019 Sydney, Australia and RoboCup Asia Pacific 2019 Tianjin, China. Worked on the development and testing of NAO Robot by Aldebran: Camera Calibration, Error Handling, Module Development. Testing of Motion Modules concerning Head, Torso, and Feet.

I was a finance executive in the student government association in my school. I was responsible for finances collection for different events that were held by the association.