Sep 2021 – Apr 2024 · 2 yrs 7 mos · Lucknow, Uttar Pradesh, India · On-site

• Predictive Modeling
• Implement advanced techniques, such as XGBoost, Ordered Probit Model, and Logistic Regression, to optimize yield conversion across the entire enrollment funnel for incoming students.
• Build Predictive Models with a focus on maximizing college net tuition revenue and enhancing enrollment yield for higher education clients.
• Developed retention models using Random Forest and XGBoost algorithms to accurately predict college students' likelihood of continuing their education, contributing to improved student retention rates.
• Collaborated effectively with academic advisors to interpret model results and design personalized intervention plans for at-risk students, leading to enhanced student success and support.
• Market Mix Modeling
• Optimize Multi-Million-dollar marketing expenditure of clients across healthcare, CPG, and Retail.
• I specialize in developing Marketing Mix Models, analyzing ROI (Return on Investment), and evaluating how effective marketing strategies are for each client.
• Provide clients with insightful results and media optimization solutions using advanced statistical and machine learning algorithms such as Multiple Linear Regression and gradient Descent.