Nimish Chaudhari is a consultant with eight years of hands-on experience in AI-driven digital transformation, currently advising PwC Luxembourg’s Emerging Technologies team. He combines a MIAGE master’s background from Université Toulouse 1 Capitole with practical delivery experience from Accenture and Vodafone, where he built deep-learning object detection models, automation pipelines, and data migration processes. Nimish brings a pragmatic mix of engineering and business process design—BPMN, Visio, and automated onboarding systems—helping large clients operationalize AI and cloud solutions. Comfortable across Python, ML tooling, and version-control setups, he has a proven knack for turning research prototypes into production-ready features that reduce manual error and improve data quality. Based in Luxembourg but educated and experienced across France and India, he blends multicultural collaboration with a curiosity for emerging tech such as blockchain and carbon-tracking analytics.
9 years of coding experience
Bachelor of Engineering - BE, Information Technology, Bachelor of Engineering - BE, Information Technology at SIES Graduate School Of Technology
MIAGE - Méthodes Informatiques Appliquées à la Gestion des Entreprises, Computer and Information Systems Security/Information Assurance, MIAGE - Méthodes Informatiques Appliquées à la Gestion des Entreprises, Computer and Information Systems Security/Information Assurance at Université Toulouse 1 Capitole
This Price Finder shows the possible transits based on the entered dates. It uses trainline [API Wrapper]{https://github.com/tducret/trainline-python} to find the data.
Contributions:4 PRs, 11 pushes, 1 branch in 4 years 10 months
apipythonapi-wrapperfindertransits
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