- Developed and optimized data pipelines using Python, SQL, Spark, and Airflow to handle large-scale data processing and ensure data integrity across diverse sources.- Utilized AWS services such as S3, EC2, Glue, Lambda, Athena, and DynamoDB, along with Kafka for real-time data streaming, to build robust, scalable, and efficient data infrastructure solutions.

- Mastered banking data with SingleStore & Couchbase, designing high-performance database solutions for clients.- Deep-dived into client needs, conducting database assessments and generating actionable reports for reps.- Showcased NoSQL value through custom testing & live demos, proving performance & cost benefits for banking use cases.

- Upgrade and fine-tune the current face recognition model for the company’s employee attendance system by retraining the existing MTCNN and FaceNet model- Improve accuracy and include face mask detection capabilities using InsightFace’s SCRFD model- Compile reports and present the insights gathered from data to clients.

- Create and design mobile interfaces for the NCS project using React Native, applying layout design, screen navigation and state management- Write and run test cases for usability and error prevention.