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PRAVEEN5432114/README.md

Hi 👋, I'm D Praveen Kumar

Typing SVG
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🚀 About Me

AI Data Analytics

🎯 Business & Data Analyst with experience in turning raw data into insights and dashboards
📊 Skilled in problem-solving, KPI analysis, forecasting & reporting
📈 Learning: Machine Learning, Advanced DAX, Looker Studio, Azure
💼 Open to roles in Data Analysis, BI, and ML Analytics
🎓 Passionate about data storytelling and continuous learning

🔍 What I Do:

  • 📊 Data Visualization: Create interactive dashboards in Power BI & Tableau with smart insights
  • 🗃️ Database Management: Design and optimize SQL queries for business intelligence
  • 🐍 Python Analytics: Statistical analysis, data manipulation, and predictive modeling
  • 📈 Business Intelligence: KPI tracking, performance metrics, and forecasting
  • 🎯 Advanced Analytics: Trend analysis and machine learning for business insights

🛠️ Tech Stack & Tools

📊 Data Analytics & Visualization

💻 Programming & Development

🤖 Machine Learning & Analytics

📚 Data Science Libraries

🗄️ Databases & Big Data

☁️ Cloud & Tools

📊 GitHub Analytics

GitHub Streak

🏆 GitHub Achievements

📊 Weekly Development Breakdown

Python       11 hrs 45 mins  ████████████▒░░░░░░░░░░░░   47.2%
SQL          6 hrs 45 mins   ██████▓░░░░░░░░░░░░░░░░░░   27.1%
Power BI     3 hrs 20 mins   ███▒░░░░░░░░░░░░░░░░░░░░░   13.4%
AI/ML        2 hrs 10 mins   ██▒░░░░░░░░░░░░░░░░░░░░░░   8.7%
DAX          55 mins         ▓░░░░░░░░░░░░░░░░░░░░░░░░   3.6%

🎯 Current Focus

graph TD
    A[🎯 Current Learning Path] --> B[Advanced DAX]
    A --> C[Google Looker Studio]
    A --> D[Azure Data Fundamentals]
    A --> E[Machine Learning Basics]
    
    B --> F[📊 Complex Calculations]
    C --> G[📈 Advanced Visualizations]
    D --> H[☁️ Cloud Analytics]
    E --> I[🤖 Predictive Analytics]
    
    F --> J[🚀 Career Goal: Senior Data/Business Analyst]
    G --> J
    H --> J
    I --> J
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📞 Let's Connect!

🌐 Find me around the web:

💼 Open for Opportunities:

  • Data Analyst positions
  • Business Intelligence roles
  • Analytics Engineering opportunities
  • ML Analytics roles
  • Freelance Projects in data visualization & predictive analytics

"Turning data into insights, insights into decisions, and decisions into success with smart analytics!" 📊🤖✨

📬 Feel free to reach out for collaborations or discussions about data-driven solutions!

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  1. Coffee-Sales-DashBorad-in-excel Coffee-Sales-DashBorad-in-excel Public

    Interactive Excel dashboard visualizing coffee sales data by product, region, and time. Includes pivot tables, slicers, and charts for sales trends, top customers, and revenue insights. Ideal for b…

  2. DATA-CLEANING-ON-AIRBNB-DATASET DATA-CLEANING-ON-AIRBNB-DATASET Public

    🧹 Cleaned and prepared a real-world NYC Airbnb dataset by handling missing values, fixing inconsistencies, and removing outliers to make it ready for analysis.

    Jupyter Notebook

  3. Electric-vehicle-market-analysis Electric-vehicle-market-analysis Public

    An interactive Power BI dashboard analyzing Electric Vehicle (EV) market trends, adoption rates, and policy impacts across the U.S. It tracks key metrics like BEV/PHEV share, CAFV eligibility, and …

  4. -Exploratory-Data-Analysis-Using-Netflix-Data -Exploratory-Data-Analysis-Using-Netflix-Data Public

    Exploratory Data Analysis of Netflix's global presence using Python. Analyzed subscriber trends, revenue, ARPU, pricing models, and growth by region. Gained insights into how Netflix adapts to diff…

    Jupyter Notebook

  5. Faasos-SQL-Food-Delivery-Analysis-Project Faasos-SQL-Food-Delivery-Analysis-Project Public

    SQL-based data exploration & insights project on Faasos food delivery data. Includes analysis of order volume, customer behavior, cancellations, driver performance, and recipe data. Uses advanced S…

  6. -Retail-Orders-Analytics-Project-Python-SQL-ETL -Retail-Orders-Analytics-Project-Python-SQL-ETL Public

    🔍 Retail Orders Analysis Project 📦 Automated a full ETL 📥➠📊 pipeline to analyze retail order data using Python (Pandas) & SQL Server. Processed real-world data from Kaggle 🔗, transformed it for dee…

    Jupyter Notebook