Namrata RN

I’m a final-year Information Science Engineering student with hands-on experience in data analytics, ETL pipeline development, and Power BI dashboard design. I build end-to-end workflows—ingesting, transforming, validating, and presenting insights—using Python, SQL, and DAX.

In my AI & Data Analytics internship, I designed and built 4+ interactive Power BI dashboards tracking 20+ KPIs using DAX measures and Power Query transformations. I also built and maintained Python-based ETL pipelines for structured datasets (10,000+ records), reducing data inconsistencies by ~30% before model training, while developing ML models for trend analysis and forecasting with 85%+ cross-validated accuracy.

I bring that same execution to my projects, from deploying an ML-backed crop prediction app (93% test accuracy) to an Autism Spectrum Disorder prediction system using TensorFlow CNN + ML (88% accuracy) integrated via Flask REST APIs. I’m eager to contribute to cross-functional BI and ETL engineering teams in an Agile, data-driven environment—turning technical work into clear business decisions.