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, ChatGPT, Claude, Gemini, LangChain, Hugging Face, AutoGPT, Zapier, and Make.com to automate business processes
- 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, Cursor
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, ChatGPT, Claude, Gemini, LangChain, Hugging Face, AutoGPT, Zapier, Make.com
Visualization & BI
Tableau, PowerBI, Matplotlib, Seaborn, Plotly, Excel, Looker
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.