Meghana S

Data Engineer with proven experience designing and delivering scalable data solutions that transform complex datasets into actionable insights and measurable business impact. Skilled in building high-performance ETL pipelines, data models, and microservices that streamline workflows, improve reporting accuracy, and support business priorities. Experienced in SQL, Python, PySpark with strong expertise in data integration, data modeling, and system performance optimization. Adept at collaborating with software engineers, data scientists, and product managers to create solutions that enhance decision-making, optimize strategy, and improve user experience. Passionate about solving large-scale data challenges, driving innovation, and shaping impactful product development.

Software Developer
IBM Service Corps, India | Feb 2023 - Jun 2023

Project name: Saaf Water Project

Saaf Water is an open-source platform designed to address groundwater contamination by leveraging IoT devices for automated water quality monitoring. It integrates IBM Cloud and Watsonx services to provide real-time updates to communities and authorities, suggesting purification methods when needed. By analyzing collected data, it predicts water quality trends, reducing reliance on manual or lab testing for approximate assessments, and ensuring safer drinking water for all.

CONTRIBUTION

• Developed and evaluated machine learning models to predict groundwater contamination trends using real-time data from IoT sensors.
• Focused on model accuracy, validation, and continuous tuning, ensuring performance and achieved 93% accuracy meeting the platform’s real-time decision-making requirements.
• Participated in sprint planning, contributing to delivery planning and backlog refinement.