AI & DATA SCIENCE FOR HEALTHCARE

I am Umang Dobhal, a Computer Science Engineer specializing in HumaN Intelligence Systems. Currently pursuing my Master’s at Kyushu Institute of Technology, my research focuses on leveraging AI-driven solutions to enhance medical sensor data analysis and activity recognition. My work, including publications on synthetic data generation using Large Language Models (LLMs), highlights my dedication to improving healthcare AI systems. With expertise in machine learning, deep learning, and data visualization, I am always eager to explore innovative technologies and collaborate on impactful projects.
Explore my portfolio to learn more about my projects, research, and contributions to AI-driven healthcare solutions.

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Work Experience

My professional journey so far

Portfolio Items

Research Intern

Kyushu Institute of Technology - Fukuoka, Japan

Feb 2024 - Apr 2024

During my research internship at the Kyushu Institute of Technology, Graduate School of Life Science and System Engineering, I collaborated with Dr. Sozo Inoue on the project "Synthetic Skeleton Data Generation Using Large Language Model for Nurse Activity Recognition." This project involved developing a novel methodology to enhance nurse activity recognition by leveraging a large language model to generate synthetic skeleton data. I contributed to the design and implementation of the methodology, as well as the evaluation of its effectiveness in improving classification accuracy for complex medical activities. This experience honed my skills in data analysis, machine learning, and interdisciplinary research, and underscores my ability to innovate and contribute to cutting-edge projects in the field of healthcare technology.

Portfolio Items

Software Intern

MindIT Systems - New Delhi, India

Jul 2023 - Sep 2023

Collaborated with the development team to create robust, automated test scripts for a dynamic website using Selenium and Python. Contributed to defect identification and resolution, enhancing the overall quality assurance process.

Projects

See my latest work

Portfolio Items

Bird Species Classification

In this project, I leveraged data science and machine learning techniques to accurately identify various bird species based on physical features such as bill length, bill depth, wing length, mass, location, and sex. Through rigorous data cleaning, feature engineering, and model evaluation, I successfully implemented and compared Decision Tree, Random Forest, and Gradient Boosting Classifiers, with the Random Forest model achieving an impressive accuracy of 96.55%

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Portfolio Items

Cricket World Cup 2023

I completed a Power BI project analyzing the Cricket World Cup 2023, where I integrated and visualized detailed match and player statistics to assemble a World XI team. This project highlighted my ability to extract and present key insights from complex data sets effectively.

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Portfolio Items

Temperature Prediction

Using Python along with powerful machine learning algorithms like XGBoost and linear regression, I analyzed historical temperature data from 1901 to 2021, available through the government's official platform.

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Certifications

My achievements and certifications

Research Paper Certificate

Application of Large Language Model in Healthcare: A Concise Review

Presented at the "International Conference on Technological Innovative Transformation to Industry 5.0 (ICTII 2024)" held at Dronacharya College of Engineering.
This paper explores the transformative impact of Large Language Models (LLMs) on healthcare, focusing on enhancing patient interaction, medical documentation, and research. It discusses LLMs' capabilities in processing unstructured data, generating understandable medical explanations, and providing personalized health advice. The review also addresses ethical considerations like data privacy, security, and fairness, emphasizing the significant role of LLMs in advancing medical practice and patient care.

Research Paper
DevOps Certificate

DevOps on AWS

I completed a specialization in DevOps on AWS from Coursera in August 2022, gaining a profound understanding of AWS services and the best practices necessary to implement DevOps principles for automated and efficient software development.

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Data Analytics Certificate

Data Analytics

I completed a Data Analytics course from PrepInsta where I learned about the fundamentals of data, data preprocessing, and visualization techniques. This course provided me with the skills to analyze and interpret data effectively, enabling data-driven decision-making.

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About

Few things about me

My passion lies in software development and data analytics, where I utilize my skills in Python, Tableau, and Power BI to drive innovative solutions. I have interned at Kyushu Institute of Technology in Japan, where I worked on enhancing nurse activity recognition using synthetic skeleton data, and at MindIT Systems in New Delhi, where I contributed to automated testing and quality assurance. In my free time, I enjoy playing video games, capturing nature through photography, and engaging in personal coding projects. I am excited about contributing to impactful technology solutions and advancing my career as a technologist.

Skills

  • Python
  • C++
  • Data Science
  • Data Analytics
  • Data Visulaization
  • Selenium
  • Unity Engine
  • HTML/CSS
  • Microsoft Power BI
  • Tableau
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+91 8130320580

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