Summary
Dinesh Grewal is a Software Development Engineer III and senior data scientist with ~8–10 years of experience building ML-driven forecasting, fraud detection, and automation solutions across aviation, fintech, FMCG, and insurance. At Amadeus he leads cross-functional teams to productionize passenger and revenue forecasting, integrating diverse data sources and operationalizing models with continual monitoring and BI dashboards. He has a strong track record deploying high-throughput models (e.g., XGBoost on AWS) that delivered measurable business impact, including multimillion-dollar risk reductions and NLP/virtual assistant prototypes for healthcare and enterprise IT. Comfortable across the ML lifecycle, Dinesh pairs feature engineering and data-quality frameworks with pragmatic MLOps to shrink runtimes and improve forecast accuracy. He is also an innovation advocate who has built chatbot and OCR-driven automation on Azure, and brings an open-minded, hands-on approach to emerging technologies.
8 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Punjabi university, patiala
English, Hindi, Punjabi