I'm always curious about what data is trying to say.
I enjoy cleaning messy datasets, exploring trends, writing SQL queries, and building dashboards that transform raw numbers into insights people can actually use.
I enjoy learning new tools quickly, adapting to new challenges, and continuously improving through hands-on projects.
- 📊 Exploratory Data Analysis (EDA)
- 🗄️ Advanced SQL
- 📈 Interactive Dashboards
- 📉 Data Visualization
- 🧹 Data Cleaning & Transformation
- 🚀 Quick learner who enjoys exploring new technologies
- 💡 Strong problem-solving mindset
- 📊 Build projects using real-world datasets
- 🧹 Believe clean data creates better decisions
- 📚 Continuously improving through hands-on practice
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Excel
- Streamlit
Interactive business dashboard built using Python, SQL, Pandas, Matplotlib, and Streamlit to analyze sales performance, revenue trends, top-performing products, and key business metrics.
Exploratory Data Analysis project uncovering trends in Netflix content, genres, ratings, release years, and content distribution using Python and data visualization.
