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ecommerce's Introduction

Let's Connect!๐Ÿ’ฌ

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Hi there, I'm Yash Kalamkhede ๐Ÿ‘‹

Aspiring Software Engineer | Full Stack Developer | "Code & Conquer"

About Me

I am a Final Year Trained Fresher with a passion for software engineering, analytical thinking, and teamwork. I enjoy solving problems and working collaboratively to create innovative solutions. Here's a brief overview of my background:

  • ๐ŸŽ“ Education: B Tech in Computer Science and Engineering, G. H. Raisoni College of Engineering, Nagpur, India (Expected July 2024)
  • ๐Ÿ“ˆ GPA: Current Cumulative GPA of 8.07/10
  • ๐Ÿ’ผ Internships: Full Stack Development, Web Development, and Content Writing roles
  • ๐ŸŽฏ Certifications: Scrum Foundation, Agile Methodology, and Software Engineering
  • ๐Ÿ› ๏ธ Skills: Proficient in C++, Java; Familiar with C, Python, JavaScript, and SQL. Experienced with HTML/CSS, React, Bootstrap, Django, Tailwind, Firebase. Proficient with tools like VS Code, Git, GitHub, MongoDB, MySQL, and Postman.

Internships

  • Full Stack Developer at Clustor Computing Certificate (July 2023)
    • Worked on Neel Dairy eCommerce Site, developing a full stack, responsive, and mobile-friendly website using HTML, CSS, JavaScript, and Django.
  • Web Development Intern at Letโ€™s Grow More Certificate (Jan 2023)
    • Worked on a Netflix Clone, creating responsive and visually appealing websites using HTML, CSS, JS, and Bootstrap.
  • Content Writer at Team Everest Certificate (Mar 2023)
    • Created English lesson plans to empower underprivileged children through effective teaching methodologies.

Certifications

  • Scrum Foundation Certificate (Aug 2023)
    • Scrum Foundation Professional Certificate (SFTM)
  • Cognizant Certificate (Jul 2023)
    • Agile Methodology Virtual Internship
  • JPMorgan Chase & Co. Online Certificate (Dec 2022)
    • Software Engineering Virtual Experience

Projects

  • Neel Dairy eCommerce Application (July 2023 โ€“ Ongoing)
    • A Full-Stack Application showcasing dairy products using HTML, CSS, JavaScript, and Django.
  • Weather Application (Feb 2023 โ€“ Mar 2023)
    • A web application showing weather based on user input location using Openweather API.
  • Heart Disease Prediction (Sept 2022 โ€“ Oct 2022)
    • Python-based ML model for heart disease prediction with 85% accuracy on training data and 81% accuracy on test data.
  • Dictionary App (June 2022 โ€“ July 2023)
    • A web application providing word meanings and information using dictionaryapi.dev API.

Get in Touch

Let's connect and collaborate on exciting projects! ๐Ÿ˜„

ecommerce's People

Contributors

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