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dipanjanpathak/README.md
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ML | DL | Python | JAVA | NLP | GenAI | Data Science | Django | MERN Stack


🚀 About Me

Hi there, I'm Dipanjan 👋

A Data Scientist and a passionate MERN Stack Developer with expertise in Machine Learning, Deep Learning, and AI-driven solutions. From crafting intelligent models to building scalable web applications, I aim to transform data into actionable insights.
For more details, 📄 Check My Portfolio


🛠️ Tools & Technologies

🧠 Data Science & AI

Python TensorFlow PyTorch Keras Scikit-Learn pandas numpy Matplotlib Seaborn Plotly Streamlit NLTK


💻 Languages

Python SQL JavaScript


🎨 Frontend Development

HTML CSS JavaScript React Redux Bootstrap WordPress


🛠️ Backend Development

Node.js Django Flask MongoDB MySQL


🛠️ Tools & IDEs

Git GitHub Postman VS Code PyCharm Google Colab Jupyter Notebook Microsoft Excel Microsoft PowerPoint Overleaf


🏗️ Projects List

Project Name Domain Description
Real Estate Recommendation and Analysis App Machine Learning Built a MERN stack app for real estate recommendations using XGBoost and cosine similarity. Deployed online for interactive analysis.
Mini GPT Model Deep Learning Developed a Mini GPT model using transformer architecture for text generation tasks.
Cold Email Generator Generative AI Built a generator using LangChain and Groq API for extracting job postings and generating tailored emails.
Stock Price Prediction Using LSTM Deep Learning Created a stock price prediction model using LSTM and deployed a Django-based visualization website.
Movie Recommendation System Machine Learning Developed a recommendation system using the TMDB dataset and cosine similarity in a MERN stack app.
Fine-Tuned Cat vs Dog Classifier Deep Learning Implemented transfer learning with CNN layers and hyperparameter tuning for improved performance.
MERN Stack E-Commerce App Web Development Developed a full-stack e-commerce application with React, Node.js, and MongoDB, featuring authentication, product management, and cart functionality.
Invisibility Cloak OpenCV Computer Vision This project demonstrates the creation of an invisibility cloak effect using OpenCV and Python. By utilizing HSV color space, masking techniques, and real-time video processing, it replaces a specific color in the video frame with the background, creating a magical "invisible" effect.

📈 GitHub Stats & Charts

General Stats

Dipanjan's GitHub Stats Repositories

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  1. Master_ML-MERN-Realestate Master_ML-MERN-Realestate Public

    MERN Stack Real Estate ML App: A full-stack app for predicting real estate prices and providing property recommendations using XGBoost and MERN technologies.

    Jupyter Notebook 6 4

  2. cold_E-Mail_generator cold_E-Mail_generator Public

    This project is an AI-powered cold email generator designed to craft personalized and professional email templates for outreach. Built with advanced natural language processing (NLP) models, it ena…

    Jupyter Notebook 3 1

  3. mini-gpt-model mini-gpt-model Public

    This project is a minimal GPT implementation focused on a question-answering system. The model was trained from scratch on the WikiText-2 dataset without leveraging transfer learning or pretrained …

    Jupyter Notebook 2 1

  4. Stock-Price-Prediction Stock-Price-Prediction Public

    This project focuses on predicting stock prices using day-wise historical data (2000–2024) obtained from Yahoo Finance. It employs data preprocessing and machine learning techniques to analyze tren…

    Jupyter Notebook 2

  5. MERN_Movie_Recomendation MERN_Movie_Recomendation Public

    Movie Recommendation System: A web app using React, Express, MongoDB, and Django for personalized movie recommendations with machine learning.

    Jupyter Notebook 2 3

  6. Dog-vs-Cat-Classifier Dog-vs-Cat-Classifier Public

    A comprehensive Cat vs Dog Classifier using TensorFlow and Keras, featuring CNN models, transfer learning, data augmentation, and visualizations for robust binary image classification.

    Jupyter Notebook 2