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Pranotosh2/README.md

πŸ‘‹ Hi there, I'm Pranotosh Mandal!

πŸ”Ή Data Analyst | Aspiring Data Scientist πŸ”Ή Passionate about transforming raw data into insightful stories πŸ”Ή Strong expertise in Python, MySQL, Power BI, Machine Learning, Deep Learning, Gen AI, Vision Transformation.....


πŸš€ About Me

πŸ“Š Skilled at data cleaning, visualization, and predictive modeling

πŸ› οΈ Experienced in building dashboards and end-to-end data solutions

πŸ€– Enthusiastic about applying Machine Learning,Deep Learning to solve real-world problems

🏏 When I’m not working with data, you’ll find me on the cricket field


πŸ› οΈ Skills & Tools

Python MySQL Power BI NumPy Pandas Matplotlib Data Storytelling Dashboarding


Languages & Libraries: Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn,PyTorch)

Databases: MySQL

Visualization & BI Tools: Power BI, Matplotlib, Seaborn

Machine Learning: Regression, Classification, Clustering, Model Evaluation

Deep Learning: CNN, RNN, GAN(Generatrive Adversarial Networks)

🌟 Featured Projects


🌐 Connect with Me


🏏 Fun Fact

When I'm not working with data, you’ll probably find me playing cricket or analyzing game strategies!


Let's turn data into actionable insights!

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  1. Bank-Loan-Analysis Bank-Loan-Analysis Public

    End to end bank loan analysis through SQL and PowerBI

  2. Credit-Risk-Classification-Using-Machine-Learning Credit-Risk-Classification-Using-Machine-Learning Public

    Jupyter Notebook

  3. Customer-Behavior-Analysis Customer-Behavior-Analysis Public

    Customer Behavior Analysis with Python, MySQL and Power BI for interactive Dashboard

    Jupyter Notebook

  4. Fashion-Recommender-System Fashion-Recommender-System Public

    Deep Learning Image Based Fashion Recommendations

    Python

  5. House-Price-Prediction House-Price-Prediction Public

    End-to-end ML project with Streamlit deployment

    Jupyter Notebook

  6. Multi-Source-RAG-App Multi-Source-RAG-App Public

    Summarization of PDF, TEXT, WEB link and Youtube link and questions and answers

    Python