RIYA KUMARI
Bhubaneswar
Summary
B-Tech Student in Computer Science and Engineering (IoT & CS) with a passion for leveraging technical knowledge to address real-world issues. Worked in a Deep Learning Framework for Prediction of Chronic Kidney Disease at early stage and Developed a news website as part of hands-on project experience, demonstrating proficiency in software development. Aiming to contribute to innovative projects while pursuing opportunities for skill enhancement. Dedicated to continuous learning and professional growth in technology.
Overview
2
2
years of professional experience
Work History
B. Tech Final Year Project
C V Raman Global University
Bhubneswar
10.2025 - 02.2026
- A Deep Learning Framework for prediction of Chronic Kidney Disease at early stage.
- Tech Stack: Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, Keras
- Built a predictive system to identify the Chronic Kidney Disease(CKD) at an early stage using clinical data
- Performed data preprocessing including missing value handling, normalization and class imbalance correction
- Implemented and compared ML Models such as Logistic Regression, Random Forest, SVM and KNN
- Designed a hybrid CNN + KNN Model for feature extraction and classification
- Achieved approximately 99% prediction accuracy, improving early diagnosis reliability
Trainee
Steel Authority of India Limited (SAIL)
06.2024 - 07.2024
- Gained hands-on experience in industrial processes within one of the largest steel manufacturing facilities in India.
- Assisted in monitoring and analyzing production workflows, applying engineering principles to optimize efficiency and ensure safety compliance.
- Worked closely with senior engineers to understand and contribute to system performance improvements.
- Conducted detailed studies on equipment and processes, focusing on reducing downtime and enhancing productivity.
- Developed technical reports and presented findings, contributing to ongoing operational enhancements.
- Acquired practical knowledge of industry-specific tools and techniques relevant to steel production and engineering.
- One of the largest steel manufacturing facilities in India.
- Reduced downtime by 20% through improved process analysis at SAIL.
- Developed news website.
- Presented findings contributing to 15% production workflow optimization.
Education
Bachelor of Technology - CSE(IOT&CS)
C.V. Raman Global University
Bhubaneswar, Odisha, India05.2026
Intermediate -
D.A.V Public School
Bokaro, Jharkhand, India05.2022
Matriculation -
D.A.V Public School
Bokaro, Jharkhand, India03.2020
Skills
- CSS
- HTML
- IoT
- Java
- JavaScript
- Python
- Machine Learning
- Scikit Learn
- TensorFlow
- Keras
- Microsoft Excel
- Microsoft PowerPoint
- Microsoft Word
- Problem-solving aptitude
- Documentation skill
- Project assistance
- Team Skill
- Communication Skill
Accomplishments
• Process Efficiency Improvement, Reduced downtime by 20% through improved process analysis at SAIL.
• Successful Website Launch, Developed News website.
• Deep Learning Framework using Python, Scikit learn, TensorFlow
• Top UX Design Graduate, Completed Google UX Design certification.
• Operational Workflow Optimization, Presented findings contributing to 15% production workflow optimization.
• Successful Website Launch, Developed News website.
• Deep Learning Framework using Python, Scikit learn, TensorFlow
• Top UX Design Graduate, Completed Google UX Design certification.
• Operational Workflow Optimization, Presented findings contributing to 15% production workflow optimization.
Projects
(1) Working on Building a Deep Learning framework for prediction of Chronic Kidney Disease at early stage
(2) Built a News Website using CSS HTML JavaScript
Timeline
B. Tech Final Year Project
C V Raman Global University
10.2025 - 02.2026
Trainee
Steel Authority of India Limited (SAIL)
06.2024 - 07.2024
Bachelor of Technology - CSE(IOT&CS)
C.V. Raman Global University
Intermediate -
D.A.V Public School
Matriculation -
D.A.V Public School