KD

Keyur Dodiya

at Doli systems
📚 Software Developer | Jersey City, New Jersey, United States
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5 Publications
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👤 About

Skills & Expertise

Programming software devloper machine learning Databases Data Mining .NET Java Privacy Preserving Data Security Spring Boot

Research Interests

Web Development Technology Database Web security Java .NET Privacy Preserving Data Mining Data Security

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💼 Experience

Doli systems · February 2024 - Present
  • Keyur Dodiya has been working as a System Engineer for Doli Systems since 2014. He has more than 12 years of experience in software development and improving the customer experience. He has hands-on experience migrating legacy systems and contributing to and across teams for business growth and transformation on different emerging technologies and platforms with multiple clients.

🎓 Education

Gujarat Technological University (GTU)

ME in Computer Engineering · 2014

Gujarat University (GU), Ahmedabad

BE in Computer Engineering · 2011

🎤 Conferences & Seminars (1)

Field Judge
Global Learning and Observations to Benefit the Environment - International Virtual Science Symposium (GLOBE IVSS) · Boulder, Colorado, Country · March 2024
Served as a field judge for the 2024 International Virtual Science Symposium (IVSS)

🏆 Awards & Achievements (1)

🏆 The Globee Awards
Awarded by: Industry Judge - Cyber Security || Year: 2021
Description

Professional Memberships (1)

IEEE - Institute of Electrical and Electronics Engineers
Member: Senior Member || Join dt: 2022 - Present
Country: United States

📚 Publications (5)

Journal: International Journal of Computer Trends and Technology • November 2013
The internet world today stands on the pillars of the security principles and Cryptography. It is very important to be able to preserve the privacy and confidentiality of critical data. In this paper...
Journal: International Journal of Engineering Development and Research • June 2014
It is very important to be able to find out useful information from huge amount of data. In this paper we address the privacy problem against unauthorized secondary use of information. To do so, we in...
Journal: Journal of Emerging Technologies and Innovative Research • February 2024
The increasing reliance on machine learning models has prompted growing concerns regarding the privacy of sensitive information used in the training process. As a result, using differential privacy te...
Journal: Journal of Emerging Technologies and Innovative Research • December 2023
In an era of increasing reliance on data-driven insights, the need to protect the pursuit of knowledge and privacy has become even more important. This research paper reflects on the field of privacy-...
Journal: International Journal of Research in Advent Technology • December 2013
It is very important to be able to find out useful information from huge amount of data.In this paper we address the privacy problem against unauthorized secondary use of information. To do so, we in...
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