Kiran J.

About Kiran J.

Actively looking for full-time opportunity to apply my knowledge and to gain experience…

Experience

1. Data Engineer

   Experian

   Jun 2022 — Present · Austin, TX, US

   Automated ML Model Training and Inference Framework: Developed and implemented an automated ma-chine learning model training and inference framework using Python and Anyscale, a Ray-based platform, whichreduced model training deployment time by 40%.• ML Model Training and inference Pipelines: Engineered Machine Learning workflows crafted to orchestratecomplex dependency management using MWAA, allowing seamless model transitions throughout research, de-velopment, and production.• Data Engineering Pipelines: Developed and automated scalable ETL pipelines using Python, Apache Airflow,and PySpark on AWS (EMR, Redshift, S3, MWAA). Created high-throughput data ingestion and transformationworkflows, enhancing processing efficiency and reliability.• NLP Model: Created a custom rule-based Named Entity Recognition (NER) model that automates entity extrac-tion, reducing manual effort by 25 hours monthly.• Data Analytics & Insights: Conducted data analysis using Pandas, PySpark, NumPy, and Plotly, applying statisti-cal methods and visualization techniques to identify trends and generate data-driven business insights. Publishedinsights to Kafka for customer profiling and campaign purposes.• Recommendation model: Developed a custom classification model to identify customers likely to open checking,savings, or high-yield savings accounts.• Custom ReactJS App Development: Created a custom ReactJS application with Flask for an AWS cost analysisdashboard and a read-only MLflow dashboard that provides model insights.