Hi there! 👋 I’m Bhabani
🔍 Aspiring Data Analyst | 📊 Insight Enthusiast | 🔢 Number Cruncher
Welcome to my GitHub! I’m a passionate Data Analyst who loves uncovering hidden insights and transforming raw data into meaningful stories. Whether it’s data visualization or statistical analysis, I’m always eager to explore and innovate.
🚀 About Me
- 💡 Turning complex datasets into actionable insights.
- 📊 Passionate about data visualization and predictive analytics.
- 🛠️ Skilled in Python, SQL, Excel, and Power BI.
- 🔍 Always learning and exploring new trends in data science.
- 🤝 Open to collaboration on data-driven projects!
- Python
- Microsoft SQL Server
- Microsoft Power BI
- Microsoft Excel
- Numpy, Pandas, Matplotlib, Seaborn
📊 Projects
- Explored hotel booking cancellations to uncover key predictors like price sensitivity, lead time, and booking channels using Python and data visualization.
- Delivered actionable insights and strategic recommendations to reduce cancellations and improve hotel revenue through targeted retention and dynamic pricing.
- Built an interactive KPI dashboard, analyzing sales performance, customer behavior, and retention for data-driven decisions.
- Designed dynamic visualizations and selectors, tracking regional trends, payment preferences, and product engagement efficiently.
- Performed SQL-based sales analysis, tracking pizza order trends, revenue, and customer behavior to optimize pricing and menu strategies.
- Developed advanced SQL queries, analyzing cumulative revenue, top-selling pizza categories, and peak order times for better profitability.
- Developed an interactive sales dashboard in MS Excel, leveraging Power Query and data modelling for KPI tracking and dynamic insights.
- Analyzed seasonal trends and customer behaviors, identifying peak festive demand, top-selling products, and high-order cities.
📬 Let’s Connect!
💼 LinkedIn: Bhabani Prasad Panda
📧 Email: Gmail
🌐 Portfolio: Bhabani Portfolio
Thanks for visiting! 🚀 Feel free to check out my repositories and connect with me. Let’s explore the world of data together!