Saloni Bhingardive

I’m a Data Science, Cloud, and Machine Learning enthusiast studying Computer Science and Engineering (Data Science), where data-driven analysis and prediction are what truly excite me. I aim to contribute in a collaborative environment, learn from experienced professionals, and leverage my skills in Cloud Computing, Data Science, and visualizations.

In my internships, I built hands-on machine learning workflows using real-world datasets—cleaning data, visualizing patterns with Matplotlib and Seaborn, and implementing models with Scikit-learn. I also strengthened my DevOps foundation through Linux and Shell scripting and secure 3-tier Azure work using Terraform, Docker, Jenkins, and Git. My projects—from a Q-Learning adaptive learning dashboard to ML-driven pipeline condition classification and CI/CD-enabled Azure deployments—reflect my drive to ship scalable, cost-aware solutions with measurable impact.