Similar to the dual role of a player and coach, I mentor and strategize data hands-on to perform advanced analytics, with the goal to better understand customers and translate insights into business strategy, product enhancements. Overall, reducing cost and increasing revenue. Focus areas include - identifying “tipping points” of claim and on claim utilization drivers, customer interventions via care & wellness product, provider & cost of care analysis and behavioral analytics including key drivers of customer decisions. Also measuring the value of initiatives and partnering with actuarial on assumption impacts. With a constant focus on enhancing data capabilities though tools and technology. My superpower lies in translating complex technical insights into actionable business strategies. Supporting all the way through ideation to implementation. As a Data Scientist, I also leveraged machine learning algorithms to enhance products and services, specializing in fraud detection and payment automation predictive models using tools like AWS, Python Server, and Airflow. >> The unique blend of analytics, data science, strategic, and ethical expertise, positions me as a strong candidate for mid-senior level roles in data-driven organizations. Recognized for collaborative work, leadership, and analytical thought process by senior leadership. Beyond work, I'm an adventurous traveler with experiences spanning nine countries and twenty-seven American states. Additionally, I'm a dedicated yoga enthusiast. Competencies: Python, AWS, SQL, PySpark, Machine Learning, TensorFlow, Business Intelligence, Tableau, DataBricks **Currently seeking remote or hybrid opportunities in the SF Bay Area, I enjoy networking over coffee. Let's connect at nehav.sds@gmail.com or via LinkedIn. *P.S. Side Hustle:** If you're starting your career in data science or seeking a transition, let's connect on LinkedIn and navigate your journey together