“In the evolving world of data science, every insight becomes a stepping stone toward employment success. Through innovation, analytics, and compassion, we turn data into direction — empowering individuals, guiding institutions, and shaping a more equitable, opportunity-rich future.”
Launched to examine the transition of fresh graduates into the workforce, this project applies advanced data science methods to identify drivers of employment success, salary outcomes, and time-to-employment.
Use classification and survival methods to identify demographic, educational, and regional determinants of whether and when graduates secure employment.
Model starting salaries using regression and causal inference techniques to understand the returns to degrees, skills, internships, and other signals.
Apply survival analysis to estimate time-to-employment and factors linked to rapid placement, enabling targeted interventions for high-risk groups.