Nimish Chaudhari

Consultant at PwC Luxembourg

Strassen, Luxembourg
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Summary

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Senior
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Top School
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.
code9 years of coding experience
bookBachelor of Engineering - BE, Information Technology, Bachelor of Engineering - BE, Information Technology at SIES Graduate School Of Technology
bookMIAGE - 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
languagesEnglish, Marathi, Hindi, French, Spanish
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Github Skills (89)

cybersecurity10
lms10
ai10
developer-tools10
agent10
mailbox9
microsoft-graph-api9
gpt9
rust9
outlook9
python9
low-code9
automation9
agentic-ai9
nextjs9

Programming languages (7)

TypeScriptCSSShellC++JavaScriptHTMLPython

Github contributions (5)

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GitHub website.!
Contributions:3 PRs, 38 pushes, 8 branches in 5 years 11 months
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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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