About Me

I'm Joseph, a Product & Machine Learning Data Scientist with a proven track record of building production ML systems and analytics solutions that deliver measurable business impact. I combine deep technical expertise with business acumen to translate complex data into strategic advantages.

Background

I hold a Master of Science in Data Science from Northwestern University and a Bachelor of Mathematics with a double major in Statistics and Actuarial Science from the University of Waterloo. My academic foundation combines rigorous statistical methods with practical machine learning applications.

What I Do

I specialize in building practical ML systems, e-commerce intelligence pipelines, and end-to-end analytics solutions. My work spans:

Machine Learning: Pricing optimization, demand forecasting, customer segmentation, NLP, and experimentation frameworks
Business Intelligence: Interactive dashboards and data visualizations using PowerBI, Tableau, and custom analytics tools
E-commerce Intelligence: Shopify analytics, customer insights, product decision support, and KPI dashboards
AI Automation: Workflows using Cursor, n8n, Lovable, and custom agentic pipelines
Data Strategy: Helping teams prioritize use cases, define metrics, and design practical roadmaps for data and AI adoption

Technical Skills & Tools

Programming & Tools

Python, SQL, R, Git, Jupyter, VS Code

Machine Learning

Scikit-learn, XGBoost, TensorFlow, PyTorch, Prophet, ARIMA, LSTM

Data Science

Statistical modeling, NLP, time series forecasting, A/B testing, experimentation

AI Automation

Cursor, n8n, Lovable, agentic workflows, automation pipelines

Visualization & BI

Tableau, PowerBI, Matplotlib, Seaborn, Plotly

E-commerce

Shopify analytics, pricing optimization, customer segmentation, RFM analysis

Education

Northwestern University

Master of Science in Data Science

University of Waterloo

Bachelor of Mathematics, Double Major in Statistics & Actuarial Science

My Approach

I specialize in building production-ready solutions that move beyond prototypes to deliver real business value. My methodology focuses on:

Business-First Thinking: Starting with business objectives and working backwards to identify the right data and ML solutions
Rapid Iteration: Building MVPs quickly, measuring impact, and iterating based on real-world feedback
Scalable Architecture: Designing systems that grow with your business, not against it
Clear Communication: Translating technical complexity into actionable insights for stakeholders at all levels

Whether you're an e-commerce brand optimizing pricing strategies, a SaaS company building predictive features, or a data team scaling ML infrastructure, I bring both the technical depth and business understanding needed to deliver results.