With over 11 years of professional experience in data management, visualization, and analytics, I have worked across diverse sectors including government, BPO, pharmaceutical/clinical research, banking, finance, and telecommunications. My expertise spans statistical programming, machine learning, and business intelligence, with hands-on proficiency in tools such as Python, R, SQL, SAS, STATA, and Tableau. I have led and supported high-impact projects involving credit risk modeling monitoring, epidemiological forecasting, clinical data reporting, and regulatory analytics, consistently delivering data-driven insights to support strategic decision-making and operational efficiency.
Artificial Intelligence and Machine Learning
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