Sarah June Sachs is a dedicated Adjunct Lecturer at the SUNY New Paltz School of Business, where she brings her extensive expertise in data science, particularly in natural language processing and machine learning, to the classroom. With a strong commitment to fostering a data-driven mindset...
Sarah June Sachs is a dedicated Adjunct Lecturer at the SUNY New Paltz School of Business, where she brings her extensive expertise in data science, particularly in natural language processing and machine learning, to the classroom. With a strong commitment to fostering a data-driven mindset among her MBA students, Sarah teaches the fundamentals of probability and statistics, emphasizing practical applications that resonate with real-world decision-making and uncertainty. Her curriculum is designed to empower students with the skills to utilize Python for statistical analysis, enabling them to transform complex data into actionable insights.
In addition to her teaching role, Sarah is actively involved in innovative projects that bridge the gap between technology and civic engagement. One of her notable initiatives, Block Party, exemplifies her passion for civic technology and urban informatics. This product aims to enhance local democracy by providing citizens with accessible tools to engage with local policy-making processes. Her leadership experience in AI-focused startups has equipped her with a unique perspective on product development and analytics, which she integrates into her teaching methodology.
Sarah's multifaceted skill set includes data visualization, geographic information systems (GIS), and marketing management, making her a valuable resource for students aspiring to excel in the rapidly evolving landscape of data science and business analytics. Through her engaging teaching style and real-world applications, she inspires the next generation of data-driven leaders to harness the power of analytics in shaping their communities and driving positive change.
