Aspiring Data Scientist & Analyst with a strong foundation in Python, SQL, Excel, and data visualization tools like Power BI and Matplotlib. Passionate about turning raw data into clear, actionable insights that drive better decision-making.
Skills:
Data Cleaning & Wrangling
Exploratory Data Analysis (EDA)
Data Visualization (Power BI, Matplotlib, Seaborn)
Python (Pandas, NumPy) | SQL | Excel
Basic Machine Learning (scikit-learn)
Experience:
Completed hands-on projects involving customer segmentation, sales trend analysis, and predictive modeling.
Built dashboards and reports to communicate findings clearly and effectively.
Trained through online platforms (Coursera, DataCamp, or [customize with what you’ve used]) with practical exercises and capstone projects.
Interests:
Real-world business problems, especially in finance, marketing, and healthcare
Automating reports and insights with code
Constantly learning and improving through challenges, datasets, and tutorials
