At Kyndryl, I developed SQL queries and data-extraction processes for operational reporting and business monitoring. I used SQL and Python to clean, transform, validate, and analyze business data.
I managed business records in SAP S/4HANA and created Power BI reports, dashboards, and DAX measures for reporting and visualization. My work included validating company names, locations, regions, and identifiers using internal and public sources.
I've built full-stack applications with Java, Spring Boot, Angular, SQL, MongoDB, and REST APIs, including a learning management system and a company website with appointment booking and customer inquiries.
For my object-detection thesis, I trained and evaluated YOLOv8n, Faster R-CNN, and SSD300 models using Python, PyTorch, Torchvision, and the Pascal VOC dataset. I compared accuracy and computational efficiency across multiple training configurations.

