Khashbat Enkhbat

I am a system engineer at Tecdia Co., Ltd., specializing in ERP systems and database optimization.
With a Bachelor of Science in Digital Business & Innovation from Tokyo International University, I’ve led projects on blockchain and predictive analytics in Japan, India, and Mongolia.
Fluent in English, Japanese, and Mongolian, I am passionate about leveraging technology for business solutions and contributing to AI research.

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My Values

Sharp

Easy-going

Industrious

Get to know me

Tsagaan Sar Festival

Fellow Delegates

With Family

Research Works

That I have contributed to

The accurate detection and assessment of stress play a pivotal role in enhancing individual well-being and healthcare outcomes. Traditional methods of stress detection often grapple with limitations in accuracy and scalability.

Enhancing Stress Identification Using Machine Learning: Revealing Key Factors with SHAP- Driven Explainable AI

In the evolving digital landscape, the pervasive influence of Artificial Intelligence (AI) on social media platforms reveals a compelling paradox: the capability to provide personalized experiences juxtaposed with inherent biases reminiscent of human imperfections. Such biases prompt rigorous contemplation on matters of fairness, equity, and societal ramifications, and penetrate the foundational essence of AI.

Quantum-Enhanced Algorithmic Fairness and the Advancement of AI Integrity and Responsibility

In the volatile world of trading, success frequently depends on the ability to devise and implement effective methods. Understanding market sentiment has been increasingly important for stabilizing revenue and separating strategic trading from simply speculation since the advent of internet trading forums such as those on Reddit.

Sentiment Analysis on Reddit Trading Data

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RESUME/CV