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diyarawade/README.md

Hi there 👋 I'm Diya Rawade

🎓 M.Sc. Data Science Student (Final Year)

📊 Aspiring Data Analyst passionate about transforming data into meaningful insights through analytics, visualization, and machine learning.

🚀 Skills

  • Python
  • SQL
  • Power BI
  • Excel
  • Machine Learning
  • Data Analysis
  • Data Visualization
  • Statistics
  • Pandas
  • NumPy
  • Scikit-Learn

📂 Featured Projects

📈 Retail Sales Analysis

  • Analyzed retail sales data using SQL and Power BI.
  • Built an interactive dashboard to track sales, profit, and regional performance.
  • Identified key business insights through data visualization.

🔍 Fraud Detection Analysis

  • Performed exploratory data analysis on financial transaction data.
  • Built a machine learning model to detect fraudulent transactions.
  • Applied feature engineering and evaluated model performance.

💼 Job Market Analysis and Salary Prediction

  • Analyzed global data science job market trends.
  • Developed a salary prediction model using machine learning.
  • Created a Streamlit application for interactive salary prediction.

🌱 Currently Learning

  • Predictive Analytics
  • Natural Language Processing (NLP)
  • Business Intelligence
  • Cloud Computing
  • Data Security & Ethics

📫 Contact

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  1. Retail-Sales-Analysis Retail-Sales-Analysis Public

    Retail sales analysis using SQL and Power BI with interactive dashboard visualizations and business insights.

  2. Job-Market-Analysis-and-Salary-Prediction Job-Market-Analysis-and-Salary-Prediction Public

    Job Market Analysis and Salary Prediction using Machine Learning and Streamlit.

    Jupyter Notebook

  3. Fraud-Detection-Analysis Fraud-Detection-Analysis Public

    Fraud detection analysis using Python, EDA, feature engineering, and machine learning techniques.

    Jupyter Notebook

  4. bcgx-customer-churn-analysis bcgx-customer-churn-analysis Public

    Customer churn prediction using Python, machine learning, feature engineering, and business analytics as part of the BCG X Data Science Virtual Experience (Forage).

    Jupyter Notebook

  5. deloitte-data-analytics-forage deloitte-data-analytics-forage Public

    Manufacturing telemetry analysis and employee pay equality investigation using Tableau and Excel | Deloitte Data Analytics Virtual Experience (Forage).