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Bhushan148/README.md

🌟 Welcome to My GitHub Profile! πŸš€

πŸ‘€ About Me

Hello! I’m Bhushan Gawali, a Data Analyst with a passion for transforming complex data into actionable insights. I specialize in:

  • πŸ› οΈ SQL
  • 🐍 Python
  • πŸ“Š Power BI
  • πŸ“‘ Excel
  • πŸ“ˆ Data Analysis
  • πŸ–₯️ Dashboard Creation
  • πŸ” Data Visualization
  • πŸ“‰ Forecasting & Statistical Analysis

I leverage these tools to create interactive dashboards, perform advanced data analysis, and deliver valuable insights. Explore my repositories to see a range of projects showcasing my expertise!


πŸ› οΈ Skills and Expertise

Python 🐍

  • Data Manipulation: Mastery in Pandas for cleaning, transforming, and analyzing data.
  • Data Visualization: Expertise in Matplotlib and Seaborn for creating insightful visualizations.
  • Web Scraping: Extracting and analyzing data using BeautifulSoup and Requests.
  • Machine Learning: Basic proficiency in machine learning models and algorithms.

SQL πŸ’Ύ

  • Complex Queries: Crafting and optimizing intricate SQL queries for data extraction and analysis.
  • Database Design: Designing and managing relational databases, including table creation and indexing.
  • Data Manipulation: Efficient in data insertion, updates, and deletions.
  • Performance Optimization: Enhancing query performance for faster data retrieval.

Power BI πŸ“Š

  • Dashboard Creation: Designing dynamic and interactive dashboards to visualize data trends and metrics.
  • Data Modeling: Building robust data models and relationships to support comprehensive analysis.
  • DAX Formulas: Proficient in DAX for advanced calculations and measures.
  • Report Sharing: Expertise in sharing reports through Power BI Service and embedding in applications.

Excel πŸ“‘

  • Advanced Formulas: Mastery of formulas such as VLOOKUP, HLOOKUP, INDEX-MATCH, and array formulas.
  • Conditional Formatting: Applying dynamic formatting rules to highlight key data points.
  • Pivot Tables and Charts: Analyzing data using pivot tables and visualizing with pivot charts.
  • Data Validation: Creating dropdown lists and validation rules for accurate data entry.
  • Macros and VBA: Automating tasks and developing custom functions with VBA.
  • Forecasting and Trend Analysis: Using Excel’s forecasting tools and trendlines for accurate predictions.

πŸ”„ Current Status

I am actively seeking a Data Analyst position and am available immediately. With my expertise in Python, SQL, and Power BI, coupled with my advanced Excel skills, I am eager to contribute to a dynamic team and solve complex data challenges.


πŸ’¬ Reach Out

Connect with me through the following channels:


🌟 Key Achievements

  • Dashboard Development: Created interactive dashboards enhancing data-driven decision-making.
  • Advanced SQL: Mastered complex SQL queries and optimized database performance.
  • Python Proficiency: Leveraged Python for data manipulation, visualization, and web scraping.
  • Excel Expertise: Demonstrated advanced Excel skills in formulas, conditional formatting, pivot tables, and macros.

πŸ“ˆ Highlighted Projects

  • Description: Analyzed the 2024 Olympic Games focusing on πŸ₯‡ athlete performance, πŸ† medal distribution, and 🌍 country rankings using Power BI and Python.
  • Key Features: Medal distribution visualization, athlete performance analysis.
  • Description: Analyzed coffee shop sales using SQL for data extraction and Power BI for visualization. Focused on πŸ“ˆ sales trends and πŸ“‹ order patterns.
  • Key Features: Sales performance insights, order pattern analysis.

3. IPL Stats Analysis πŸ“ˆ

  • Description: Explored IPL data to show team and player performances. Analyzed match results, highest scores, and performance at various venues using charts.
  • Key Features: Match results analysis, player performance metrics.
  • Description: Designed and managed a library database with CRUD operations, including tables for branches, employees, and books.
  • Key Features: CRUD functionalities, database management.
  • Description: Developed a fully automated Excel dashboard to analyze and visualize key metrics of a bank's loan portfolio. Provided insights into loan applications, funded amounts, and more.
  • Key Features: Automated reporting, loan metrics visualization.
  • Description: Provided real-time visualizations of IPL scorecards and standings using Power BI. Pulled live data from the Cricbuzz API.
  • Key Features: Live score updates, dynamic standings visualization.

7. Bank Loan Analysis πŸ’Ό

  • Description: Imported data into SQL, performed queries, and visualized results in Power BI dashboards. Included summaries, trends, and regional analysis.
  • Key Features: Loan application metrics, regional analysis.
  • Description: Created a comprehensive Retail Sale Dashboard using Power BI and MySQL. Analyzed and visualized retail sales data with key insights into sales trends.
  • Key Features: Sales trends visualization, comprehensive retail analysis.
  • Description: Analyzed smartphone market trends and patterns using SQL and Python. Evaluated price distribution, user ratings, and market share.
  • Key Features: Price distribution analysis, user ratings insights.
  • Description: Designed a comprehensive Sales Dashboard in Excel to provide data-driven insights into sales performance across various time frames and categories.
  • Key Features: Sales performance analysis, interactive Excel dashboards.
  • Description: Utilized Excel to forecast YouTube views for the next 7 days using FORECAST Function, Graph Trendlines, and Forecast Sheet Tool. Compared methods for accuracy.
  • Key Features: Forecasting methods comparison, trend analysis.
  • Description: Created a dynamic registration form in Excel with dependent dropdown lists, functional macros, and protected sheets to streamline data collection.
  • Key Features: Data collection automation, functional macros.

13. Web Scraping 🌐

  • Description: Focused on web scraping using Python libraries like Requests and BeautifulSoup to extract and analyze data from websites. Structured data into tables with Pandas.
  • Key Features: Data extraction automation, structured data tables.
  • Description: Used SQL and Python to create an interactive dashboard analyzing sales performance and customer trends from the Northwind database.
  • Key Features: Sales performance analysis, customer trend insights.
  • Description: A collection of my data analysis projects showcasing expertise in Python, SQL, Power BI, and Excel. Includes detailed case studies and interactive visualizations.
  • Key Features: Portfolio showcase, detailed case studies.

16. GitHub Profile πŸš€

  • Description: Welcome to my GitHub profile! πŸš€ I’m Bhushan Gawali, a Data Analyst with expertise in Python 🐍, SQL πŸ’Ύ, and Power BI πŸ“Š. Explore my repositories to see a range of projects that highlight my skills in data analysis.
  • Key Features: Overview of my expertise and projects.

Profile Views Stars Contributors Followers Twitter Follow Watchers


Feel free to explore these projects and connect with me for any queries or collaborations! 🌟

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