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Achievement: Pull SharkAchievement: YOLOAchievement: Quickdraw

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@DEVRhylme-Foundation

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wtfashwin/README.md

💫 Hello, Greetings:

Final-year undergraduate at (SPPU). With a solid foundation in programming languages like Python, C++, and JavaScript, I specialize in solving complex problems, as evidenced by solving 900+ competitive coding problems.

I combine expertise in machine learning, web development, and data analysis with practical experience in agile project management. My passion lies in building scalable, user-centric applications, and optimizing system performance. With a contest rating of 1869, I am in the top 3.97% of competitive coders globally in GFG platform

I am actively seeking opportunities to leverage my technical skills, collaborate with dynamic teams, and contribute to impactful projects

🌐 Socials:

LinkedIn X YouTube Codepen

💻 Tech Stack:

CSS3 GraphQL HTML5 JavaScript Windows Terminal TypeScript Azure Firebase Anaconda Angular.js Express.js FastAPI Django Flask NPM NestJS Next JS NodeJS Nodemon React React Native TailwindCSS Vite Vue.js Web3.js WordPress Yarn MySQL MongoDB NumPy Scipy scikit-learn TensorFlow Pandas Plotly PyTorch Matplotlib Keras mlflow Babel Docker Gradle Kubernetes Jira Notion

pages-build-deployment

🏆 GitHub Trophies

✍️ Random Dev Quote

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  1. Portfolio Portfolio Public

    This is my simple personal portfolio in (html , css, js), soon I would continue to work on creating it using react, vue.js etc.

    CSS 1

  2. Employee-Management Employee-Management Public

    A web application for managing employee tasks, schedules, and performance.

    JavaScript 1

  3. Linkedin-Post-Generator Linkedin-Post-Generator Public

    Used Groq and Langchain for building a genAI project

    Python 1

  4. bunhub bunhub Public

    A GitHub search and trending explorer built with React and Bun. Search for repositories and users, view trending projects, and get live notifications all with a fast, modern UI.

    TypeScript 1

  5. fraud-detection fraud-detection Public

    This project implements a machine learning pipeline to detect fraudulent credit card transactions. It uses logistic regression on a highly imbalanced dataset, applying SMOTE to balance classes.

    Python

  6. health-report-summarizer health-report-summarizer Public

    An NLP-powered Healthcare Report Summarizer. This tool takes medical reports (PDF/text) and generates simple, easy-to-read summaries. It simplifies jargon like "hypertension" to "high blood pressur…

    TypeScript 1