Mani Varun Arivini

Cloud Based Data fusion and Processing of Multi-Remote Sensor Data 1. Raspberry Pi-based system uploads sensor data to Nextcloud for centralized access. 2. The Python Shiny app is containerized with Docker and deployed on Kubernetes for scalability. 3.Implemented a DevOps-driven Gitlab CI/CD pipeline to automate testing, building, and deployment of the system

• Performed data cleaning and preprocessing tasks on raw data • Developed scripts in SQL to automate data cleaning processes • Conducted statistical analyses to identify trends, patterns, and anomalies in the data • Executed data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data

Utilized Microsoft Power BI applications to analyze data and generate reports, contributing to decision-making processes. Leveraged visualizations in Power BI to perform comprehensive data analysis. Implemented advanced data transformation techniques in Power Query to prepare raw data for visualization and analysis purposes. Utilized SQL queries to retrieve, manipulate, and analyze data directly from databases, enhancing the depth and flexibility of data analysis capabilities.

Seeking for a mandatory internship Data Science and Machine Learning: Python, SQL. Electronic Hardware Systems: C++(Arduino Programming), Quality Management Soft Skills: MS office(Word, Excel, PowerPoint),

Mathematics 1 & 2, Probability Theory and Numerical Methods Python for Data Science, Computer Programming, FEM, CAD Engineering Mechanics, Mechanics of Solids, Thermodynamics