Data Analyst
I’m a dedicated Data Analyst with internship experience focused on turning raw data into practical insights.
I’ve completed projects in fraud detection, customer churn analysis, supply chain optimization, market basket analysis, and energy consumption forecasting. My primary tools include Python (pandas, matplotlib, scikit-learn, XGBoost, Prophet), along with Excel, Jupyter Notebook, and basic SQL.
I enjoy identifying patterns, building simple yet effective models, and presenting results in a way that supports better decision-making. I value clarity, consistency, and honest communication in every project I work on. Rather than overcomplicating things, I prefer clean, structured analysis that solves real problems.
I’m currently available for freelance roles, internships, and short-term projects, and I’m always open to new opportunities that allow me to apply my skills and continue growing.
Work Terms
Available 24/7