Chandan S

Intern

Bengaluru, Karnataka, India1 yr 3 mos experience

Most Likely To Switch

Key Highlights

Hands-on experience in machine learning projects.
Strong foundation in Java and full-stack development.
Proficient in Docker-based application setups.

Stackforce AI infers this person is a Full-Stack Developer with a focus on Machine Learning in the Energy and Healthcare sectors.

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Skills

Core Skills

Java Software DevelopmentDevopsMachine LearningData Analysis

Other Skills

HTMLCSSJavaScriptReactJSCore JavaJDBCHibernateServletsData Structures Algorithms (DSA)SQLAIMLPython (Programming Language)DockerSpring BootWeb Development

About

Hi, I’m Chandan S, a passionate Computer Science graduate with a strong foundation in Java, SQL, JDBC, Hibernate, HTML, and CSS. I actively work on both Dockerized and non-Dockerized projects, applying clean development practices and real-world deployment techniques. I have hands-on experience in machine learning projects, including Battery Capacity Prediction and Well-Differentiated Thyroid Disease Detection, where I apply data preprocessing, feature engineering, and predictive modeling to build accurate and efficient solutions. I also work with Docker-based application setups, containerizing services for easy deployment, scalability, and environment consistency. Alongside this, I build non-Dockerized applications, focusing on traditional development workflows, configuration management, and version control. I hold Oracle Java Foundations certification and have practical exposure to TechOps, working on real-world software development tasks, automation, and troubleshooting. I thrive on solving complex problems, working effectively in teams, and continuously learning new technologies to build scalable and high-performing applications. I am currently seeking opportunities to contribute as a Software Developer, leveraging my technical skills, problem-solving abilities, and hands-on project experience—both Dockerized and non-Dockerized—to deliver impactful solutions in innovative environments.

Experience

Channabasaveshwara institute of technology, gubbi

Battery capacity prediction using historical data with machine learning

Apr 2025 – Jul 2025 · 3 mos · Gubbi, Karnataka, India · On-site

Battery capacity prediction using machine learning analyzes historical battery data to estimate remaining or future capacity. Battery performance degrades over time due to aging, temperature, and charge–discharge cycles. Machine learning models learn degradation patterns from parameters like voltage and cycle count to make accurate predictions. This helps improve battery reliability, safety, and lifespan in applications such as electric vehicles and energy storage systems.

AIMLPython (Programming Language)Machine LearningData Analysis

Jspiders

Intern

Mar 2025 – Present · 1 yr · India

Learning and applying key technologies in web development and programming, including HTML, CSS, JavaScript, ReactJS, Core Java, JDBC, Hibernate, Servlets, Data Structures Algorithms (DSA), and SQL. Gaining hands-on experience in developing web applications, optimizing algorithms, and managing databases. This practical exposure is enhancing my problem-solving abilities and deepening my understanding of full-stack development learning.

HTMLCSSJavaScriptReactJSCore JavaJDBC+6

Well-differentiated thyroid disease detection

Intern

Oct 2024 – Jan 2025 · 3 mos

Developed and deployed a machine learning model to detect well-differentiated thyroid diseases, achieving improved diagnostic accuracy. Applied advanced data preprocessing, feature engineering, and supervised learning algorithms to enhance predictive performance.