Helí Gonzales Pérez 👋

Data Scientist with +6 years of experience in machine learning, advanced analytics, and cloud solution deployment for companies in the banking and finance sectors. Specialized in predictive models, recommendation systems, and pricing, using tools such as Python, SQL, Azure L, Databricks, and MLFlow. I have developed solutions with a direct business impact worth over $5 million, applying techniques such as Gradient Boosted Trees, K-Means, and other supervised and unsupervised learning techniques, integrated into production environments with A/B testing and automation. My work style combines analytical thinking, a self-taught approach, and an applied data vision to solve real-world problems. I am passionate about learning and generating value through analysis, connecting data with business objectives.