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https://github.com/scarblase/portfolioprojects

A collection of data analysis and business intelligence projects using SQL, Python, and visualization tools to uncover insights from real-world datasets. πŸš€πŸ“Š
https://github.com/scarblase/portfolioprojects

csv data-analysis data-engineering data-mining data-science data-visualization matplotlib matplotlib-pyplot pandas python python3 seaborn sql

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A collection of data analysis and business intelligence projects using SQL, Python, and visualization tools to uncover insights from real-world datasets. πŸš€πŸ“Š

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README

          

πŸš€ **Data Analytics & Business Intelligence Portfolio** πŸ“Š

Welcome to my **PortfolioProjects** repository! This collection showcases my expertise in **SQL, Python, and data visualization** through hands-on projects that analyze real-world datasets. From **data cleaning** to **exploratory data analysis (EDA)** and **business insights**, these projects reflect practical applications of data-driven decision-making. πŸ’‘

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## πŸ” **Project Highlights**

### πŸ“ˆ **COVID-19 Data Analysis**
- **Tools:** SQL, Excel, Tableau
- **Goal:** Analyze COVID-19 trends in cases, deaths, and vaccinations.
- **Key Insights:**
- Identified global trends in infection and vaccination rates.
- Analyzed country-wise impact using SQL queries and Tableau visualizations.
- **Files:** `Covid Portfolio Project.sql`, `CovidDeaths.xlsx`, `CovidVaccinations.xlsx`

### 🏑 **Nashville Housing Market Data Cleaning**
- **Tools:** SQL
- **Goal:** Prepare messy real estate data for analysis.
- **Key Steps:**
- Standardized date formats and address fields.
- Removed duplicates and handled missing data.
- **File:** `NashvilleHousingPP(Data Cleaning).sql`

### πŸ’° **Billionaires Dataset Analysis**
- **Tools:** Python (Pandas, Matplotlib, Seaborn)
- **Goal:** Examine wealth distribution and industry dominance.
- **Key Insights:**
- Tech industry dominates billionaire wealth.
- Identified top wealth-generating countries.
- **File:** `Billioners Dataset.xlsx`

### 🎬 **Netflix Customer Database Exploration**
- **Tools:** Python (Pandas, Seaborn)
- **Goal:** Understand customer viewing habits and trends.
- **Key Findings:**
- Analyzed genre preferences and subscription patterns.
- Explored customer retention rates.
- **File:** `Netflix Customer Database Exploration.ipynb`

### πŸ›’ **Bike Store Sales Performance (Excel Dashboard)**
- **Tools:** Excel (Pivot Tables, Charts)
- **Goal:** Build an interactive sales performance dashboard.
- **Key Insights:**
- Identified best-selling products and peak sales periods.
- Analyzed regional sales trends.
- **File:** `Excel Project Bike Store.xlsx`

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## πŸ“‚ **Repository Structure**
```
πŸ“ PortfolioProjects
│── πŸ“„ README.md # You're reading it! Repository overview.
│── πŸ“Š Data Cleaning in Pandas.ipynb # Python-based data cleaning.
│── πŸ“Š EDA in pandas.ipynb # Exploratory Data Analysis.
│── πŸ“Š Groupby And Aggregate Functions.ipynb # Advanced Pandas functions.
│── πŸ“Š Merge, Join, Concatenate.ipynb # Data merging techniques.
│── πŸ“Š Visualizations in Pandas.ipynb # Data visualization techniques.
│── πŸ“Š NashvilleHousingPP(Data Cleaning).sql # SQL-based data cleaning.
│── πŸ“Š Covid Portfolio Project.sql # COVID-19 SQL analysis.
│── πŸ—‚οΈ Dataset Files (Excel, JSON, CSV) # Source data for analysis.
```

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## πŸ›  **Tools & Technologies Used**

πŸ”Ή **SQL** (PostgreSQL, MySQL, SQL Server)
πŸ”Ή **Python** (Pandas, NumPy, Matplotlib, Seaborn)
πŸ”Ή **Data Visualization** (Tableau, Power BI, Excel)
πŸ”Ή **Data Cleaning & Processing**
πŸ”Ή **Business Intelligence & Decision-Making**

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## πŸ“Š **Tableau Public Dashboards**
Explore interactive visualizations on my [Tableau Public Profile](https://public.tableau.com/app/profile/bohdan.khomenko/vizzes)!

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## 🀝 **Let's Connect!**
If you're passionate about **data analytics, business intelligence, or data-driven decision-making**, let's collaborate! Feel free to explore, fork, or contribute to this repository. πŸš€

πŸ“§ **Email:** tmhomenko@gmail.com
🌐 **LinkedIn:** [Connect with me](https://www.linkedin.com/in/bkhomenko/)

πŸ‡ΊπŸ‡¦ **Glory to Ukraine! Π‘Π»Π°Π²Π° Π£ΠΊΡ€Π°Ρ—Π½Ρ–!** πŸ‡ΊπŸ‡¦