Maneesh Singh Chauhan has extensive work experience in various roles related to AI, data science, cybersecurity, and blockchain development.
MANEESH SINGH started their career in 2020 as a freelancer on Freelancer.com, where they worked as an AI scientist, data scientist, AI, ML & DL engineer, and blockchain developer.
In 2021, Maneesh joined Bugcrowd and HackerOne as a security researcher, specializing in cybersecurity.
In 2022, they worked as a security researcher at Intigriti, YesWeHack, and Open Bug Bounty, focusing on vulnerability research and bug hunting.
MANEESH SINGH also interned as a cyber security intern at SISTMR Australia during the same year.
In 2023, Maneesh joined Kaggle as a contributor and AI scientist, as well as DataCamp as a project contributor.
Overall, Maneesh has gained extensive experience in AI, data science, cybersecurity, and blockchain development through their work with various companies and platforms.
Maneesh Singh Chauhan's education history is as follows:
- 2021-2024: Indian Institute of Technology, Madras - BS in Data Science and Applications, specializing in Data Science.
- 2023-2024: University of the People - Master of Science (MS) degree in Information Technology.
- 2021-2024: University of the People - Bachelor of Science (BS) degree in Computer Science.
- 2020-2024: Indian Institute of Technology, Madras - BS in Data Science and Applications, focusing on Computer Science.
- 2020-2023: NATIONAL INSTITUTE OF ELECTRONICS & INFORMATION TECHNOLOGY (NIELIT) - NIELIT - 'A' Level (IT) - Advanced Diploma in Computer Applications, with a specialization in Information Technology.
- 2020-2023: NATIONAL INSTITUTE OF ELECTRONICS & INFORMATION TECHNOLOGY (NIELIT) - DOEACC 'B' Level - equivalent to MCA, with a specialization in Information Technology.
- 2020-2022: NATIONAL INSTITUTE OF ELECTRONICS & INFORMATION TECHNOLOGY (NIELIT) - NIELIT - 'O' Level (IT) - Foundation in Computer Applications, with a focus on Information Technology.
- 2021-2022: NATIONAL INSTITUTE OF ELECTRONICS & INFORMATION TECHNOLOGY (NIELIT) - Expert Computer Course (ECC), with a focus on IT Literacy Programme.
- 2021-2021: Code in Place - Offered by Stanford University's CS106A, fundamentals of programming in Python.
- 2023-Present: NATIONAL INSTITUTE OF ELECTRONICS & INFORMATION TECHNOLOGY (NIELIT) - NIELIT - 'C' level, equivalent to M-Tech, specializing in Information Technology.
- 2022-Present: Indian Institute of Technology, Madras - NPTEL, Computer Science and Engineering.
- 2022-Present: NPTEL - Computer Science and Engineering.
- 2020-Present: Credly - Computer Science and Engineering Badges.
- Diploma of Education in Computer Science from Asean Online Education AOE.
- Computer Science Courses Certification from CS50.
- Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Full-Stack Software Dev. courses from Coursera.
- Artificial Intelligence, Data Science, Machine Learning, Deep Learning courses from DataCamp.
- Computer Science courses from Massachusetts Institute of Technology (MIT).
- Computer/IT Courses from NATIONAL INSTITUTE OF ELECTRONICS & INFORMATION TECHNOLOGY (NIELIT).
- Computer Science Courses Certification from Saylor Academy.
Maneesh Singh Chauhan also holds several additional certifications, including the following:
- 'AI Programming with Python' Nanodegree Program from Udacity.
- Artificial Intelligence, Data Science, Machine Learning, Deep Learning courses from DataCamp.
- CertNexus Certified Data Science Practitioner from CertNexus.
- Computer Science courses from Stanford Online.
- Computer Science courses from MIT Open Learning.
- Computer Science courses from Harvard University.
- Computer Science courses from University of Oxford.
- Computer Science and Engineering courses from Saylor Academy.
- Computer Science and Engineering courses from NPTEL.
- Computer Science and Engineering (CSE) Certification Badges from Credly.
- Computer Science and Engineering Graduates from Coursera.
- CertNexus Certified Artificial Intelligence Practitioner from CertNexus.
- Mathematics for Machine Learning and Data Science from DeepLearning.AI.
- Secure Coding Practices from University of California, Davis.
- Secure Software Design from University of Colorado.
- IBM DevOps and Software Engineering from IBM.
- AWS Machine Learning Foundations from Udacity.
- Mathematics for Machine Learning from Imperial College London.
- Software Engineering from The Hong Kong University of Science and Technology.
- Machine Learning from Stanford University.
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