About the role
Designed and implemented a Student Check-in and Management system using AWS services, automating manual processes and managing over 2000 student records. Enabled real-time dashboards for enhanced decision-making and operational efficiency, benefiting 8-15 staff members. Automated data ingestion and transformation with AWS Glue and DynamoDB, reducing data entry errors by 80%. Streamlined data pipelines with AWS S3 and Snowpipe, enhancing ingestion speed by 30% and cutting processing time by 50%. Optimized Power BI dashboards, boosting decision-making efficiency by 15%. Led a migration project with IDQ Informatica, improving data accuracy by 25%, and implemented business rules to reduce inconsistencies by 40%. Developed and optimized computer vision models using Python and deep learning libraries, achieving 95% accuracy in image classification. Deployed ML solutions with Docker and AWS EC2, enhancing model performance and scalability. Reduced fraudulent motor insurance claims by 20% through advanced deep learning techniques.
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