• Pipeline-centric funnel modeling
• Attribution for long sales cycles
• CAC-to-revenue clarity
• Impactful forecast analytics
• Robust Snowflake modeling
• Python-driven forecasting
• Unified sales & marketing data
• Modern BI architecture
• Lead/account scoring
• Data enrichment workflows
• LLM-powered insights
• Decision support for leaders
Selected Work
A selection of systems, models, and dashboards I’ve built or designed.
Writing Highlights
Essays on marketing analytics, revenue systems, and practical AI.
Technical Depth
Applied data science and ML — written during my Master of Data Science at Boston University.
The Feature That Explained Everything (And Why It Wasn't in Your Dataset)
Why My Best Model Only Explains 40% of the Variance (And Why That's Fine)
Why I Chose CatBoost (And What It Taught Me About Generalization)
Feature Engineering Is the Job. Everything Else Is Execution.
LightGBM Overfitting: How One Parameter Caused a 0.114 AUC Gap
Stop Wasting Trials: A Progressive Hyperparameter Search Strategy with Optuna
Why I Switched from Regression to Classification (And Why It's Not That Simple)
The Feature Engineering Trick That Improved My Model More Than Any Algorithm
