I am highly motivated to begin my career with an organization known for its innovation, engineering excellence, and cutting-edge technology.I am currently pursuing my Bachelor’s degree in Computer Science and Engineering…
I am highly motivated to begin my career with an organization known for its innovation, engineering excellence, and cutting-edge technology.I am currently pursuing my Bachelor’s degree in Computer Science and Engineering and have a strong foundation in programming, web development, and problem-solving. I have completed an internship in web development, where I gained hands-on experience in HTML, CSS, JavaScript,react, mongoDB,SQL,Java and frontend development. I have also worked on academic and personal projects such as a price comparison system, portfolio website, and database-driven applications, which strengthened my skills in UI/UX design, logic building, and software development practices.I am a hardworking, self-motivated individual with a strong willingness to learn new technologies and adapt to challenging environments. I am particularly interested in contributing to Mercedes-Benz’s software and digital solutions while continuously improving my technical and professional skills.
<p>Completed a 3-week Web Development internship at TipApps Technologies, gaining hands-on experience in JavaScript, Reactjs, Git, GitHub, and SQL.<br>
Developed practical skills in frontend development and version control workflows through real-world projects.</p>
<p>Completed an online Web Developer internship at Octanet Technologies, gaining hands-on experience in front end development.<br>
Worked on building responsive websites and optimizing web applications.<br>
Utilized technologies including HTML, CSS, JavaScript, and React to deliver effective web solutions.</p>
<p>Completed an online UI/UX Design internship at CodSoft, driven by a passion for design and technology.<br>
Gained practical experience in wireframing, prototyping, and usability testing.</p>
<p> Developed a plant leaf disease detection website that identifies and diagnoses plant diseases using image analysis and real-time predictions. Implemented with Python, Machine Learning, HTML, CSS, and JavaScript to deliver an interactive, accurate, and scalable solution.</p>
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