Data Science & Machine Learning
Apply advanced analytical methods to identify patterns, classify outcomes, and create evidence that can inform practical decisions.
How This Service Helps
Machine learning is not a substitute for a well-defined business question. I start by clarifying the decision, the outcome to estimate, and the cost of being wrong before selecting a method.
The work may include feature preparation, classification, clustering, association analysis, or model comparison. Evaluation focuses on whether the model generalizes, how its errors matter, and whether the results can be explained to the people using them.
This creates a grounded basis for targeting, triage, segmentation, experimentation, or further investigation without treating model output as a decision by itself.
What I Can Help With
Questions This Work Can Help Answer
- Which cases or customers share meaningful characteristics?
- What makes a classification useful for the business process?
- Which variables add signal and which add noise?
- How should false positives and false negatives be weighed?
- Can the model's output be explained and acted upon?
How I Approach the Work
Start with the
business question.
Clarify the decision, available data, stakeholders, and what a useful outcome looks like.
Build the
evidence.
Prepare, explore, validate, and analyze the data using methods appropriate to the question.
Connect analysis
to the business.
Turn findings into clear implications, tradeoffs, and decision-relevant insights.
Make the work
usable.
Deliver the appropriate dashboard, report, model, analysis, or recommendation.
Tools & Methods
Have a similar analytics challenge?
Let's discuss the business question, available data, and what a useful analytical deliverable could look like.
Discuss Your Project