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m-rudrani/README.md

Hi there 👋, I'm Rudrani Mahajan

🎓 Computer Science Graduate | 📊 Data Analyst | 🤖 ML & AI Enthusiast

👀 I’m interested in Data Science, Machine Learning, and Data Analytics

📊 Skilled in SQL, Python, Pandas, NumPy, Excel, and Power BI

👯 I’m looking to collaborate on real-world data analytics and ML projects

📫 How to reach me:

📧 Email: [email protected]

🌐 Portfolio: rudrani-mahajan.web.app

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  1. ATM-Cash-Demand-Forecasting-System ATM-Cash-Demand-Forecasting-System Public

    Built an ATM cash forecasting system using Python and machine learning to predict daily cash demand from historical transaction data. The project includes data preprocessing, model training, and a …

    HTML

  2. Retail-Sale-Analytics Retail-Sale-Analytics Public

    End-to-end Retail Sales Analytics project using Python, PostgreSQL, and Power BI to transform raw transaction data into actionable business insights through interactive dashboards.

    Jupyter Notebook

  3. Anomaly-Detection-System Anomaly-Detection-System Public

    Built a batch analytics pipeline to monitor daily retail revenue and automatically detect abnormal spikes and drops. The system cleans transaction data, aggregates it into a daily time series, and…

    Jupyter Notebook

  4. SQL-and-Business-Analytics SQL-and-Business-Analytics Public

    SQL-based analysis of customer transactions and revenue data using PostgreSQL. The project answers key business questions around revenue trends, customer value, product performance, and churn using…

  5. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

    Credit Card Fraud Detection project using XGBoost, optimized for a highly imbalanced dataset through SMOTE oversampling and PCA for dimensionality reduction. The pipeline includes preprocessing, mo…

    Jupyter Notebook

  6. PowerBi_Dashboard PowerBi_Dashboard Public

    This repository showcases three Power BI dashboards focused on Customer Churn, Risk Analysis, and Diversity & Inclusion. Each dashboard offers actionable insights through interactive visualizations