The mental health of employees in the tech industry is a growing concern due to the high-pressure work environment, long hours, and intense performance expectations. This study uses data from the Mental Health in Tech Survey dataset to investigate workplace support systems’ impact on mental health outcomes among tech industry professionals. Key factors influencing mental health challenges and treatment-seeking behavior are identified through exploratory data analysis, statistical testing, and predictive modeling. Findings reveal that workplace factors such as access to care options, organizational support, and family history significantly affect mental health outcomes. Logistic regression and decision tree models provide insights into the likelihood of employees seeking treatment based on these predictors, with family history emerging as the most influential factor. Despite efforts by organizations to offer wellness programs and support systems, awareness and utilization remain low, highlighting a need for improved communication and targeted interventions. This research provides actionable recommendations for creating a supportive workplace culture, improving access to mental health resources, and fostering employee well-being in the tech sector.