• Actively involved in the design and development tasks right from the start of the ideation phase. • Developed efficient automation for data cleaning, and data pipelines using MongoDB, predictive modeling, Model Optimization, Auto-ML, and Model Interpretation techniques which reduced almost 40% of the regular manual efforts. • Developed the script to deploy the trained models to host as an AI Webapp using cloud services like Azure, Heroku, and Stream lit.• Designed ETL packages on SSIS to migrate data and make it available for the reporting applications.• Wrote Python script for manipulating and looping through different user defined objects.• Implemented Agile for frequent changes to client requirements and following parallel development and testing.

• Worked as a data engineer and provided database support for various applications developed on Oracle Apex.• Having hands-on experience in writing multiple SQL queries to get the data from different DB objects and involved in creating DB objects like tables, views, indexes, procedures, packages, and triggers.• Responsible for creating PL-SQL packages, triggers, and performance improvement of queries for Oracle APEX applications. • Imported real time weblogs using Kafka as a messaging system and ingested the data to Spark Streaming• Active participation with BAs to understand the scope of various internal projects and also Interacted with functional experts and users for the improvement of the processes and the systems.• Have been part of the SDLC life cycle which involves requirement gathering, Design, Coding, Testing, and Implementation and having awareness of the concepts and methodologies involved in Scrum Agile as the project is tracked using Scrum Agile.