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Aparna Bimal

@aparnabimal

Data Engineer at flydubai who developed a RAG analytics system that automated call-quality evaluation from manual sampling to full coverage.

United Arab Emirates

Message

At flydubai, I designed AWS data platforms and developed a RAG-based analytics solution using Amazon Bedrock and SageMaker to evaluate Genesys interactions against guidelines and compliance policies. The solution automated call-quality evaluation, moving coverage from approximately 2–3% manual sampling to 100%, and earned the flydubai Business Enabler Award.

At TurinTechAI, I developed a PyTorch time-series augmentation pipeline that improved anomaly-detection accuracy by 20%. Earlier, at Schneider Electric, I worked with the Product Information Management team on master-data components and developed Tableau dashboards that helped reduce system breakdowns by 39%.

Experience

Work history, roles, and key accomplishments

Data Engineer

Flydubai

Jun 2024 - Apr 2026 (1 year 10 months)

Designed and implemented production-grade AWS data platforms and scalable ETL pipelines using Spark, EMR, and serverless technologies. Developed a RAG-based GenAI analytics solution that increased interaction-evaluation coverage from 2-3% manual sampling to 100% automated analysis, earning the flydubai Business Enabler Award.

AWS Apache Spark EMR Kafka Redshift Hive Lambda Step Functions DynamoDB S3 Glue REST APIs ETL Data Warehouse Amazon Bedrock Sagemaker RAG GenAI Python SQL

Intern

Turingtech.ai

May 2023 - Sep 2023 (4 months)

Developed a PyTorch-based time-series data augmentation pipeline, improving anomaly detection model accuracy by 20%. Implemented and evaluated deep learning models including LSTM Autoencoders, Variational Autoencoders, and WGAN-GP.

PyTorch LSTM Variational Auto Encoders WGAN GP Anomaly Detection Python NumPy scikit learn EDA Model Evaluation

Graduate Engineer in Data Governance and Performance

Schneider Electric

Nov 2020 - Jul 2022 (1 year 8 months)

Worked with the Product Information Management team to develop components for Schneider Electric's global master data management system using JavaScript. Developed Tableau dashboards to track KPIs and monitor system performance, leading to a 39% reduction in system breakdowns.