Mehul Agarwal

I’m a Data Analyst and Software Engineer Intern who turns large datasets into actionable insights. I combine SQL and Python with strong problem-solving, proven by solving 700+ Data Structures and Algorithms problems on LeetCode and Code360.

As a Software Engineer Intern at Navikenz (Machine Learning & Backend Development), I worked on ML-integrated systems to process and analyze large datasets efficiently. I built backend services and analytical workflows using Python and Node.js, and collaborated cross-functionally to deliver data-driven insights.

I also improved production reliability through data validation: at Pristine Business Solutions, I developed automated data validation pipelines that improved workflow reliability by 30%. I optimized complex SQL queries, reducing execution time by 40%, and built monitoring tools to detect anomalies and improve accuracy.

My projects reflect how I like to ship end-to-end systems—like a NoSQL-first unified backend platform, an inventory analytics dashboard with alerts and revenue insights, and a code similarity & plagiarism detection system using AST parsing and control flow analysis. I enjoy building scalable analytical solutions with clean APIs, predictable execution, and strong data quality checks.