🚀 Data Analytics & Business Intelligence Portfolio 📊

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. 💡

---

🔍 Project Highlights

📈 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

💰 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

🛒 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

---

📂 Repository Structure

📁 PortfolioProjects
│── 📄 README.md        # You're reading it! Repository overview.
│── 📊 Data Cleaning in Pandas.ipynb  # Python-based data cleaning.
│── 📊 EDA in pandas.ipynb  # Exploratory Data Analysis.
│── 📊 Groupby And Aggregate Functions.ipynb  # Advanced Pandas functions.
│── 📊 Merge, Join, Concatenate.ipynb  # Data merging techniques.
│── 📊 Visualizations in Pandas.ipynb  # Data visualization techniques.
│── 📊 NashvilleHousingPP(Data Cleaning).sql  # SQL-based data cleaning.
│── 📊 Covid Portfolio Project.sql  # COVID-19 SQL analysis.
│── 🗂️ Dataset Files (Excel, JSON, CSV)  # Source data for analysis.

---

🛠 Tools & Technologies Used

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

---

📊 Tableau Public Dashboards

Explore interactive visualizations on my Tableau Public Profile!

---

🤝 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. 🚀

📧 Email: tmhomenko@gmail.com
🌐 LinkedIn: Connect with me

🇺🇦 Glory to Ukraine! Слава Україні! 🇺🇦