Roshni Dahal

Data Analyst with expertise in analytical skills and process optimization. Proven track record of collaborating with cross-functional teams to align objectives and secure funding through data-driven insights. Strong ability to translate complex data into actionable strategies that drive business success.

Healthcare Billing Analysis Using Data Science (Capstone Project)

• Analyzed a real-world healthcare dataset to evaluate how demographic, clinical, and administrative factors affect hospital billing amounts.
• Performed data cleaning, preprocessing, and exploratory data analysis (EDA) using Python, SQL, Pandas, and NumPy to identify cost patterns and key drivers.
• Applied statistical analysis and machine learning techniques and communicated insights through data visualization and structured reporting.

Machine Learning Project - Hospital Readmission Rate

• Built an end-to-end machine learning pipeline to predict 30-day hospital readmissions, including data cleaning, preprocessing, and feature engineering.
• Trained and evaluated models (Logistic Regression, tree-based models) using ROC-AUC, accuracy, precision, recall, and confusion matrix.
• Improved model performance through feature selection, hyperparameter tuning, and analysis of feature importance, and communicated insights using visualizations.