Delivers data warehouse and ETL solutions as part of an agile team using advanced machine learning techniques to improve performance and processes.

Helps build and improve infrastructure, application and performance development and ensures tight security including data encryption, security groups, and environmental scanning.

Ensures high-quality deliverables and implements DevOps and security best practices in fast-paced environments.

Build language models to extract regulatory documents and perform data analysis to capture insights from large data sets.

Handle topic modelling on the project - engineering NLP pipelines to capture correlations between classes and keywords.

Deploy code for production, analyze information to discover complex patterns and develop experiments to extract use cases.

Worked on multiple initiatives to create and improve different ML models and analytics solutions for clients.

Managed all data exploration, feature engineering, model training, deployment, monitoring, and calibration tasks.

Worked with distributed data pipelines to deliver the highest impact to users.