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shashwatpal1021/Readme.md

Hi there! 👋 I'm Shashwat Pal

I'm a Full Stack Developer based in India. I have a passion for building efficient, scalable applications and infrastructure. My expertise spans a wide range of technologies and tools.

🔭 Currently Working On

I am currently working at HTS Tech Solution as Software Backend Developer and focused on developing full-stack applications and enhancing my DevOps skills.

🌐 Tech Stack

💻 Languages

JavaScript   TypeScript   Java   Python   Rust

🌍 Web Development

HTML   CSS   Tailwind   ReactJS   Redux Toolkit   Next.js   Node.js   Express.js   MongoDB   PostgreSQL   Redis   Postman   Nginx   Jest  

⚙️ DevOps

Git   GitHub   Linux   Bash   Docker   Kubernetes   AWS  

🚀 Projects

  • Developed an interactive Rentify website where users and sellers can take and rent properties.
  • Used NextAuth for authentication and authorization.
  • Tech Stack: Next.js, TailwindCSS, MongoDB.
  • Users can view properties based on rates, descriptions, and amenities, and contact property managers.
  • Filter options available based on location and property type.
  • Developed an interactive issue tracker app using Next.js, React.js, TailwindCSS, NextAuth, Prisma (ORM), and PostgreSQL.
  • Implemented authentication and authorization using NextAuth.
  • Users can create issues, assign them, and filter based on status, creator, etc.
  • Visual representation of issues using bar graphs.

Alphabet Gaming App

  • Developed an interactive Alphabet Gaming App using React.js, HTML, CSS, and JavaScript.
  • Enabled users to participate in alphabet-based games through a keyboard interface.
  • Presented 20 random alphabets one at a time, challenging users to input the correct letter.
  • Implemented a 0.5-second penalty for incorrect entries.
  • Assessed user performance based on high scores and provided feedback if they didn't achieve a high score.
  • Showcased expertise in front-end development, responsive design, and gamification.

Thyroid Prediction System Using Machine Leaning

  • Developed a user-friendly front-end application for patients to assess their thyroid status.
  • Utilized HTML, Python, Flask, and Heroku to create the platform.
  • Analyzed patient data and employed machine learning, specifically a Random Forest classification model, to provide predictive insights.
  • Implemented features allowing patients to input basic information and test results for self- assessment.
  • Ensured adherence to industry-specific healthcare and data privacy standards.
  • Showcased expertise in machine learning and web application development, contributed to improved healthcare accessibility and early diagnosis.

📫 Connect with Me

LinkedIn   Twitter   Gmail  

Feel free to reach out for collaboration or just to connect!

Coding profiles ...

shashwatpal1021   shashwatpal1021  

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