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HIYA-2002/README.md

Hi, I'm Hiya Maiti 👋

🎓 B.Tech CSE Graduate | Future Institute of Technology (MAKAUT) | CGPA: 8.53
📍 Kolkata, West Bengal
🔍 Actively seeking Data Analyst / Business Analyst roles


🛠️ Tech Stack

Languages & Query: Python, SQL, Java
Python Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
BI & Visualization: Power BI (DAX, Power Query), Tableau, Microsoft Excel
Database: MySQL
Version Control: Git, GitHub


📂 Featured Projects

Project Tools Highlights
Customer Churn Analysis SQL, MySQL RFM analysis on 7,043 customers
A/B Testing Analysis Python, Stats Hypothesis testing on 294,478 users, p=0.03
Retail Sales EDA Python, Pandas 3,900+ transactions, RFM segmentation
Loan Default Prediction App Python, ML, Streamlit Real-time risk prediction with UI
Credit Card Fraud Detection Python, ML Imbalanced data classification

📬 Connect with Me

LinkedIn 📧 maitihiya1@gmail.com

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  1. customer-churn-analysis-sql customer-churn-analysis-sql Public

    SQL-based analysis of telecom customer churn to identify key factors influencing customer retention and high-risk segments.

  2. ab-testing-conversion-analysis ab-testing-conversion-analysis Public

    End-to-end statistical analysis of an A/B test evaluating landing page conversion performance using two-proportion Z-test and confidence intervals.

    Jupyter Notebook

  3. blinkit-powerbi-dashboard blinkit-powerbi-dashboard Public

    Beginner Power BI dashboard analyzing Blinkit sales, outlets, and product performance.

  4. retail-sales-analysis-eda retail-sales-analysis-eda Public

    End-to-end Retail Sales Exploratory Data Analysis (EDA) project using Python, Pandas, Matplotlib, and Seaborn. Includes data cleaning, feature engineering, customer segmentation, RFM analysis, and …

    Jupyter Notebook

  5. loan-default-risk-app loan-default-risk-app Public

    Machine Learning-based Loan Default Prediction App with Streamlit UI and real-time risk analysis

    Jupyter Notebook

  6. HIYA-2002 HIYA-2002 Public