📊 **Data Analyst** passionate about turning data into actionable insights
🔍 **Data Visualization Expert** creating compelling dashboards and reports
🧹 **Data Cleaning Specialist** ensuring data quality and integrity
📈 **Analytics Professional** with expertise in statistical analysis and modeling
🌟 **Problem Solver** using data-driven approaches to business challenges
📚 **Continuous Learner** staying updated with latest analytics tools and techniques
🔭 Currently exploring advanced analytics, machine learning, and AI applications
👯 Open to collaborating on data projects and open source analytics
| Category | Tools |
|---|---|
| Programming Languages | Python, SQL, R |
| Data Manipulation | Pandas, NumPy, SQL |
| Visualization | Tableau, Power BI, Matplotlib, Seaborn, Plotly |
| Spreadsheets | Microsoft Excel, Google Sheets |
| Databases | PostgreSQL, MySQL, MongoDB |
| Cloud Platforms | AWS, Google Cloud, Azure |
| Development Tools | Jupyter Notebook, VS Code, Git, GitHub |
| Statistical Analysis | SPSS, SAS, R Studio |
| 🌟 Project | 📝 Description | 💻 Tech Stack | 🔗 Link |
|---|---|---|---|
| E-Commerce Sales Analysis | Universal analytics platform with auto-generated insights and interactive dashboards | Python, Pandas, Streamlit, Plotly | View → |
| Global Job Market Intelligence | RFM analysis and clustering for job behavior insights | Python, Scikit-learn, Power BI | View → |
| VÉRA | Visual Evidence Retrieval and Analysis platform | React, Next.js, Tailwind CSS | View → |
| PurePlate | AI-driven food transparency platform analyzing ingredients, INS codes, and hidden nutrition facts | Next.js, PostgreSQL, Gemini AI | View → |
