• Led the development and implementation of a language assignment automation system, reducing processing time by 75% and eliminating manual language identification inefficiencies.• Implemented Keyword Detection Logic to Django Admin , enabling seamless CSV file generation based on user inputs, improving workflow efficiency and saving 84% of time for users and the Data Science team.• Conducted sentiment analysis on calls for Sales Engineers and Leads, utilizing transcript and audio data. Established automated daily cron job for Snowflake table updates, improving operational efficiency.• Created alerts to track model error rates, enhancing operational efficiency. Formulated sampling scripts to maximize data coverage, reducing sampling size from 12% to 3% and achieving nearly 100% coverage, significantly improving data quality and decision-making. Also worked on carrying out audits for Plug&Play by using cron job for sampling data and adding to audit pipelines• Implemented the deployment of Knowledge Sufficiency logic into Django Admin, leveraging AWS Lambda and AWS Batch for efficient DS Logic deployment. Utilized AWS ECR for building and uploading Docker images. Integrated OpenAI API for fetching knowledge score. This streamlined the process, enhanced scalability, and improved overall system performance, completely removing the dependency on DS.