Nihit Choudhary in

Nihit Choudhary

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Data Scientist Machine learning Engineer (R&D) at Atlas Copco
📍 Crawley, England, United Kingdom

Nihit is a Data Scientist and AI/ML Engineer at Atlas Copco specializing in generative AI, predictive maintenance, and Edge AI. A graduate of Bournemouth University with a Masters in Data Science, he holds multiple certifications from Microsoft Azure and Intel. Colleagues describe him as passionate, creative, and analytically bright.

He has an entrepreneurial background, having founded a data science consultancy. Nihit also demonstrates a passion for education by authoring "The Numpy Handbook, " a guide for aspiring data scientists. His interests extend to applying technology for social good, particularly within agriculture.

He co-authored a research paper on using blockchain and smart contracts to improve conditions for farmers.

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Experience
6 Years
Current Role
Data Scientist Machine learning Engineer (R&D)
Job Level
Middle
Location
Crawley, England, United Kingdom
Personality Overview

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Decision Approach
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Priorities

Topics Nihit cares about

Generative AI & LLMs
A core part of his current role at Atlas Copco and his expertise as a subject matter expert, focused on new technology validation and innovation projects.
Edge AI & IoT
Holds a specific certification in Edge AI from Intel and lists it as a key specialty, relevant for industrial applications and predictive maintenance.
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Career

Work history

10-2021
Data Scientist Machine learning Engineer (R&D)
Atlas Copco
10-2024 - 12-2024
Subject Matter Expert
Skill-Up Technologies
6-2021 - 12-2021
Artificial Intelligence Developer
Built Environment Media | Tenderstream
3-2021 - 5-2021
AWS Sysadmin trainee
Blueberry Consultants Ltd
7-2017 - 1-2020
Founder & Data Scientist
vishudhha Services
In the press

Media appearances

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Education
1-2020 - 1-2022
Master of Science with Distinction
Bournemouth University
2020 - 2020
Course Certificate
New York University
Social presence
in
Behavioral profile

DISC profile (public)

DISC behavioral profile

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