Tanya has demonstrated exceptional academic excellence, maintained a perfect 4.0 GPA, and brought a strong interdisciplinary foundation from prior degrees in Industrial and Systems Engineering, where she also graduated with a 4.0 GPA. Her academic work reflects both precision and a sustained commitment to high-level achievement.

During her time in the program, she contributed to the academic community as a Teaching Assistant for Data Mining, supporting students in understanding machine learning techniques, analytical methods, and real-world data applications. She also participated in the “Fun Friday” series, presenting to fellow students on navigating the program and successfully transitioning into the workforce.

She has developed strong hands-on experience through a variety of analytical projects. Her capstone project, conducted in collaboration with Kaiser Permanente, focuses on trend analysis and machine learning to generate actionable insights from complex datasets. She has also completed projects in machine learning, customer segmentation, and data visualization using Python, SQL, Tableau, and Power BI.

Tanya currently works as a Financial Analyst at the Surplus Line Association of California, a role secured during her final semester, where she applies data analytics to support informed financial decision-making. Her professional experience complements her academic training and strengthens her ability to translate data into strategic insight.

Her journey reflects resilience, adaptability, and a sustained commitment to excellence. She is passionate about leveraging data analytics to drive strategic decisions and create meaningful business impact.