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Pranamchand/README.md

Hey There ,
I am Pranam

Typing SVG

🚀 About Me

Aspiring Data Scientist
Focused on turning raw data into meaningful insights and solving real-world problems.

  • 🔭 Currently Working On: Strengthening my skills in Data Science and Machine Learning through hands-on projects while continuously improving my problem-solving and programming abilities.
  • 🌱 Learning: Data analysis, machine learning, programming, and practical AI applications.
  • ⚡ Projects Include: Data analysis, data cleaning, data visualization, machine learning, and continuous project-based learning.
  • 📫 Connect With Me: LinkedIn   Portfolio   GitHub

🛠️ Tech Arsenal

Python R Language Java HTML5 Pandas NumPy Matplotlib Seaborn SQL

MySQL Excel Power BI Jupyter Google Colab VS Code ChatGPT AI Studio Antigravity Machine Learning

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"Data will Talk to You if You are Willing to Listen"

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  1. Basic-Centiment-Analysis Basic-Centiment-Analysis Public

    This is a Machine Learning-based Sentiment Analysis model that predicts the basic emotional sentiment of a given text. The model analyzes user input and classifies it into different sentiment categ…

    Jupyter Notebook

  2. Kaggle-Competition Kaggle-Competition Public

    A collection of my 𝗞𝗮𝗴𝗴𝗹𝗲 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻 solutions, notebooks, and machine learning projects featuring data preprocessing, feature engineering, model development, and performance optimization.

    Jupyter Notebook

  3. Heart-Disease-Risk-Assessment-ML-project Heart-Disease-Risk-Assessment-ML-project Public

    ❤️ Heart Disease Risk Prediction web app built with Streamlit and implemented Machine Learning Algorithm, providing real-time risk assessment based on clinical health parameters.

    Jupyter Notebook

  4. Gender-Classification-Model-based-on-Name Gender-Classification-Model-based-on-Name Public

    Predicts gender from Indian and USA names using character-level TF-IDF and a neural network — 87% accuracy.

    Jupyter Notebook

  5. APPLE-GLOBAL-RETAIL-ANALYTICS APPLE-GLOBAL-RETAIL-ANALYTICS Public

    An end-to-end analysis of Apple's global retail dataset — from raw data cleaning & EDA then ingestion to SQL-driven business intelligence and interactive dashboards. The goal is to surface actiona…

    Jupyter Notebook

  6. Book-recomendation-system Book-recomendation-system Public

    A content-based book recommendation engine built with TF-IDF vectorization and cosine similarity. Search any book title — even with typos, thanks to fuzzy matching — and get instantly ranked, simil…

    Jupyter Notebook