Saloni Shinde

I bridge the gap between complex physical engineering and high-performance data science. With a background in Mechanical Engineering and expertise in Machine Learning (ML), I help organizations transform raw industrial data into automated, actionable intelligence. Core Expertise End-to-End ML Pipelines: Designing and deploying automated reporting systems using Python and Google Cloud that have successfully reduced manual operational effort by 80%. Predictive Diagnostics: Building deep learning models for anomaly detection and condition classification to prevent downtime and improve diagnostic accuracy. Process Optimization: Leveraging time-series analysis to tune industrial parameters, demonstrated by increasing control loop uptime from 64% to 91%. Statistical Efficiency: Utilizing data-driven insights to extend hardware lifecycle and reduce annual operational costs. Professional Impact Currently an Associate Engineer for Digital Initiatives at Forbes Marshall, I specialize in scaling digital services that empower organizations toward sustainability and operational excellence. My experience spans from optimizing electrode life at Tata Motors to architecting cloud-based KPI reporting for large-scale industrial plants.