Customer Churn and Early Pay-off Prediction Model
Logistic and Cox regression models to forecast early lease pay-offs and re-leasing potential, improving sales targeting accuracy.
Helping Businesses Turn Data into Clear Strategies for Smarter Decisions and Growth.
Data-driven Business & Data Analyst with 2+ yearsβ experience in leasing, finance, and digital assets. Builds dashboards, predictive models, and KPI frameworks to drive customer insights, sales performance, and risk management.
A versatile analytical skillset bridging market intelligence, business strategy, and data science.
Design and develop interactive dashboards that transform complex data into clear, actionable insights for business stakeholders and executive teams.
Build predictive models and analytical frameworks to forecast customer behavior, identify trends, assess risks, and support strategic decision-making.
Analyze customer behavior and lifecycle data to create segmentation strategies, improve retention, and enhance customer engagement initiatives.
Develop performance measurement frameworks and automated reporting systems to monitor business objectives, operational efficiency, and growth metrics.
Streamline data collection, integration, and reporting processes to improve data accuracy, reduce manual effort, and increase operational efficiency.
Translate technical findings into business insights through clear presentations, reports, and data storytelling tailored for management and cross-functional teams.
Hands-on proficiency across the full analytics and visualization stack.
Building a track record across digital assets, financial leasing, and customer intelligence.
Selected work demonstrating the intersection of data analysis, market research, and business strategy.
Logistic and Cox regression models to forecast early lease pay-offs and re-leasing potential, improving sales targeting accuracy.
Monitors credit risk across the leasing portfolio tracking delinquency rates, aging categories, non-performing contracts, and geographic risk hotspots.
Classifies customers into 7 tiers based on contract history, payment consistency, and tenure. Used by 3 departments with filters by province and product type.
Comprehensive market research on tokenized asset adoption trends, investor behavior patterns, and go-to-market strategy for a digital asset platform.
Compares contract volume, dealer performance, leasing share, and target achievement across provinces, product models, and sales territories.
End-to-end business model design for tokenized offerings including pricing logic, revenue stream mapping, cost structure analysis, and profitability scenarios.
Grounded in economic theory, quantitative methods, and practical business application.
Microsoft and LinkedIn Learning, 2025. Business requirements, process analysis, workflow modeling, stakeholder alignment.
July 2025. Teamwork communication and collaborative problem solving within professional team environments.
Interested in working together? Whether it's a full-time opportunity or a freelance project, let's explore how data can drive smarter decisions, reduce risk, and unlock growth. Reach me at menghoungtheng [at] gmail [dot] com.