Capstone
Customer Churn Prediction
Developed a robust predictive model utilizing ensemble methods to identify at-risk customers with 92% accuracy, allowing targeted retention strategies.
Python
Scikit-Learn
XGBoost
The Scholar's Studio
M.S. Business Analytics candidate at DePaul University with a dedicated focus on predictive modeling, machine learning, and marketing analytics. Bridging the gap between raw data and strategic enterprise growth.
local_florist
Completed
Morningstar Investment Classifier
A classification system categorizing mutual funds based on historical performance and risk metrics.
R
SQL
Completed
Germany Market Entry Strategy
Comprehensive market analysis and financial modeling to evaluate entry feasibility for a consumer goods client.
Excel
PowerBI
Ongoing
Campaign Performance Dashboards
Interactive, real-time visualization suite tracking multi-channel marketing KPIs, enabling rapid executive decision-making.
Tableau
Google Analytics