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Pritampatil07/README.md

Hi, I'm Pritam Patil πŸ‘‹

Data Analyst | Power BI | SQL | Python | Excel | Data Visualization | Business Intelligence

I am passionate about transforming raw data into actionable business insights through data analysis, visualization, and business intelligence. I enjoy building end-to-end analytics solutions using SQL, Python, Power BI, and Excel to solve real-world business problems.


πŸš€ About Me

  • πŸ“Š Data Analyst Enthusiast
  • πŸ’» Skilled in SQL, Python, Power BI, and Excel
  • πŸ“ˆ Interested in Business Intelligence, Data Analytics, and Data Visualization
  • 🌱 Building real-world portfolio projects using SQL, Python, Machine Learning, and Power BI
  • 🎯 Seeking Data Analyst opportunities

πŸ› οΈ Technical Skills

Data Analysis & Visualization

  • Power BI
  • Microsoft Excel
  • Data Storytelling
  • Dashboard Design
  • KPI Reporting

Programming & Databases

  • SQL
  • Python
  • PostgreSQL

Python Libraries

  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Scikit-Learn

Data Analytics Skills

  • Data Cleaning
  • Exploratory Data Analysis (EDA)
  • ETL Process
  • Business Intelligence
  • Statistical Analysis
  • Predictive Analytics

Tools

  • Git
  • GitHub
  • Jupyter Notebook
  • Google Collab
  • Power BI Desktop
  • PostgreSQL

πŸ† Certifications

  • Microsoft Power BI Certification
  • SQL Certification
  • Python for Data Analysis

πŸ“‚ Featured Projects

πŸ“ˆ End-to-End Sales Analytics

Tech Stack: SQL | Excel | Power BI

  • Built interactive sales dashboards for business performance monitoring.
  • Analyzed sales, profit, customer segments, and regional performance.
  • Implemented forecasting and KPI tracking.
  • Generated actionable business insights through data visualization.

πŸ“Š Telecom Customer Churn Analysis & Prediction

Tech Stack: Python | SQL | Machine Learning | Power BI

  • Performed customer churn analysis using telecom data.
  • Built machine learning models to predict churn risk.
  • Identified key factors influencing customer retention.
  • Developed executive dashboards for churn monitoring.

🚚 Supply Chain Analytics Dashboard

Tech Stack: SQL | Python | Power BI

  • Analyzed inventory, supplier performance, logistics costs, and profitability.
  • Created interactive dashboards with KPI tracking.
  • Evaluated shipping efficiency and supplier lead times.
  • Delivered business recommendations for operational improvement.

πŸ“« Connect With Me

πŸ“§ Email: 2210prit@gmail.com

πŸ’Ό LinkedIn: www.linkedin.com/in/pritam-patil-data

πŸ™ GitHub: github.com/Pritampatil07


πŸ“Š Core Competencies

Data Analysis β€’ SQL β€’ Python β€’ Power BI β€’ Excel β€’ Dashboard Development β€’ ETL β€’ Business Intelligence β€’ Data Visualization β€’ KPI Reporting β€’ Machine Learning β€’ Predictive Analytics β€’ Data Cleaning β€’ EDA


⭐ Passionate about leveraging data analytics, business intelligence, and visualization to solve business problems and support data-driven decision making.

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  1. Telecom-Customer-Churn-Analysis-and-Prediction Telecom-Customer-Churn-Analysis-and-Prediction Public

    End-to-End Telecom Customer Churn Analysis and Prediction using Python, SQL, Machine Learning, and Power BI to analyze customer behavior, predict churn risk, identify key churn drivers, and deliver…

    Jupyter Notebook

  2. Supply-Chain-Analytics-Dashboard Supply-Chain-Analytics-Dashboard Public

    End-to-End Supply Chain Analytics Dashboard using SQL, Python, and Power BI. Analyzed inventory, supplier performance, logistics costs, shipping efficiency, and profitability KPIs through interacti…

    Jupyter Notebook 1

  3. End-to-End-Sales-Analytics End-to-End-Sales-Analytics Public

    End-to-end Sales Analytics project using SQL, Excel, and Power BI for data analysis, dashboarding, forecasting, and business intelligence reporting.