Shubhi Goel.

Worked with operations and finance teams to map workflow gaps and built a unified analytics platform that replaced 10+ manual reporting processes. Built Power BI dashboards tracking KPIs, cost patterns, and operational bottlenecks, cutting reporting cycles from hours to minutes for management teams. Integrated live flight data APIs to improve data reliability and enable real-time visibility, while reducing system maintenance overhead by around 30%.

Independently scoped and delivered a working cybersecurity prototype from concept to deployment in 6 weeks, handling architecture, testing, and documentation autonomously. Communicated system behavior to both technical and non-technical stakeholders and produced documentation that enabled the R&D team to greenlight the next phase.

Built an end-to-end ML pipeline to predict diabetes onset, cleaning and standardising 768 clinical records and training logistic regression and decision tree models to achieve 90% precision. Applied SHAP explainability and ROC threshold tuning to reduce false negatives and make model outputs interpretable for non-technical reviewers. Deployed on Azure ML Studio, enabling scalable inference for the research team.

Drove 40% growth in social media reach by independently leading digital strategy and producing 20+ campaign assets across tight deadlines with consistent brand alignment.