Lipny Athisaya Amalan

I’m a results-driven Junior Data Analyst focused on collecting, processing, and performing quality assurance on data from multiple sources. I partner with cross-functional teams to strengthen a data-driven culture and improve business intelligence capabilities.

I work with data visualization tools like Power BI and Tableau, along with MS Excel and dashboards, to turn insights into clear, actionable views. I also bring strong exploratory skills—data cleaning, transformation, descriptive statistics, and EDA—to find patterns quickly and accurately.

With Python and SQL at the core, I build analytics workflows using libraries including NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn. I’ve also developed supervised ML models (CatBoost, XGBoost) for credit risk prediction and built models to support better decision-making.

I’m eager to continue growing through real-world projects and learning environments, including my Data Analytics training and completed data analysis simulations. I enjoy predictive analytics and problem solving, especially when it reduces risk and uncovers business opportunities.