--Dataopsly • Inspired by DBT Cloud, utilizing DBT Core and Python Celery for task scheduling similar to DBT Cloud. It operates on the Django framework with admin ui.Contribution:• Changed and enhanced the task handling and logging methodology, along with refining DBT (data-build-tool) project handling for improved efficiency.• Improved job addressing mechanisms for streamlined project management.• Implemented substantial UI changes for enhanced usability and aesthetics.--DATA ANALYTICS APP• Built a SaaS Application for Data Analytics and Machine Learning using activity schema with Flask, jQuery, Docker, GitHub, PostgresSQL and ClickHouse for Database Management, scikit-learn and other libraries for Machine Learning.• Data Migration, from different sources to our working saas development app.• Employing machine learning algorithms in our saas development app to train ML models for tabluar data and make predictions•Implemented Apache Echarts for viz and then later upgraded to Apache SUPERSET• Worked on Tableau, POWER BI for Data Visualisations.

Design and development of Diesel FIE (Fuel Injection Equipments) components (pumps).3D Modelling, Drafting Product Components, Drafting BOMs.Change Management activities (Release, Revision, ECN, ECR) ofEngineering Documents (Drawings, Specification BOMs).Product analysis post-customer trial and validation runs.