Jaipur, Rajasthan, India
Summary
As a Data Engineering Intern, Nayan developed and deployed machine learning models and ETL pipelines, delivering business intelligence solutions that optimized data accuracy and accelerated decision-making.
Highlights
Developed machine learning models for client churn prediction with 82% accuracy, analyzing 15,000+ subscriber records to reduce retention costs by 25% for enterprise partners.
Engineered ETL workflows using Python and SQL to transform 50GB+ transaction datasets from 8 diverse sources, reducing execution time from 6 hours to 45 minutes through optimized data warehouse strategies.
Enhanced model prediction accuracy from 75% to 82% over 3 iterations through iterative feature engineering and hyperparameter optimization techniques.
Deployed orchestration workflows using Apache Airflow to streamline validation and transformation routines, monitoring 12 daily quality checks across production environments.
Collaborated with management teams to define requirements and developed 4 Power BI dashboards, providing business intelligence reports that accelerated weekly analysis cycles for senior leadership by 3 hours.