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dineshkumarc9102/README.md

👋 Hi, I'm Dinesh Kumar

💫 About Me:

🚀 Aspiring Product Engineer | Frontend • Data • Enterprise Systems
💻 Building scalable and user-centric web applications using React, Node.js, and Tailwind CSS
📊 Creating insight-driven dashboards with Power BI & Excel to solve real business problems
⚙️ Hands-on experience in SAP systems and digital transformation initiatives
🔍 Focused on integrating UX, data, and business workflows into efficient digital products
🧠 Background in Machine Learning & NLP, with a problem-solving mindset
🤝 Open to collaboration and opportunities to build impactful products

💻 Tech Stack:

HTML5 CSS3 JavaScript Python Netlify Render Firebase React TailwindCSS NodeJS Next JS Express.js Nodemon React Router Socket.io Vite FastAPI NPM Flask MongoDB MySQL Adobe XD Figma Canva NumPy Pandas Matplotlib scikit-learn Git GitHub Power Bi Postman

📊 GitHub Stats:



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  1. Dineshkumar_Cryptoplace Dineshkumar_Cryptoplace Public

    CryptoTracker provides comprehensive data on all major cryptocurrencies, including live prices, market capitalization, 24-hour price changes, trading volumes, and more. Powered by the reliable Coin…

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  2. Dineshkumar_Library_Management_System Dineshkumar_Library_Management_System Public

    Library Management System is a system which maintains the information about the books present in the library and Authors and book details.

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  3. Dineshkumar_Bank_Management_System Dineshkumar_Bank_Management_System Public

    The Bank Management System is an application for maintaining a person's account in a bank.

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  4. Dineshkumar_Agro_Application Dineshkumar_Agro_Application Public

    The application is to allow farmers to fix a satisfactory rate for their product and to sell them as well. A user can login as a farmer, customer, retailers and even as hotel managers.

  5. Dineshkumar_Detection_And_Prediction_Of_Phishing_Websites_Using_Data_Mining_Techniques Dineshkumar_Detection_And_Prediction_Of_Phishing_Websites_Using_Data_Mining_Techniques Public

    This project evaluated Decision tree, Naïve Bayesian, and SVM classifiers on a phishing dataset to detect website types as legitimate or phishing. Its goal was to identify effective classifiers for…

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  6. Dineshkumar_Feature_Selection_And_Classification_Model_For_Cancer Dineshkumar_Feature_Selection_And_Classification_Model_For_Cancer Public

    This project conducted predictive analysis to optimize algorithm selection and minimize error rates using confusion matrices and entropy. Demonstrated that effective system design, machine learning…

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