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With a strong foundation in data science and a passion for driving business outcomes through advanced analytics, I am currently a Principal Marketing Data Analyst at Citizens Bank. My role involves developing sophisticated predictive models that have significantly boosted marketing efficiency, delivering over $108 million in annual NPV. My work in optimizing marketing strategies through machine learning has not only maximized ROMI but also doubled the effectiveness of SEM campaigns, resulting in an additional $1.6 million NPV annually. My expertise extends to the design and execution of acquisition strategies, where I have successfully led A/B testing across multiple digital channels, driving over $7 million in incremental value. I also focus on customer retention and growth, using advanced statistical techniques to enhance onboarding processes and increase household balances by 30% without additional acquisition costs. I hold a Master’s in Data Science from the University of Rochester and bring advanced skills in Python, SQL, and AWS RedShift, among others. My experience spans multiple industries, where I’ve consistently applied my skills to solve complex problems and optimize business performance.
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