ALTYNAY GABIDOLLA

Data Analyst with experience in building predictive models using Python (scikit-learn, Pandas, NumPy), creating ETL pipelines in Databricks, and developing Tableau dashboards for healthcare analytics platforms. Experienced in analyzing patient outcomes, appointment patterns, and clinical operations for hospital networks and medical practices. Skilled in machine learning, customer segmentation, statistical analysis, working with clinical operations teams, product managers, and data engineers. • Machine Learning: Built predictive models using scikit-learn (K-means clustering, logistic regression, random forest) for patient risk scoring and appointment no-show prediction • Data Analysis: Python (Pandas, NumPy, Matplotlib, Seaborn), SQL (PostgreSQL, MySQL), Tableau, PowerBI for analyzing patient behavior and clinical metrics • ETL Development: Built data pipelines in Databricks and Python scripts extracting data from Epic, Cerner, and clinic management systems Business Intelligence: Created automated dashboards for hospital networks, developed KPI frameworks for clinical operations, conducted A/B testing on patient engagement strategies