ResumeContact

Marketing data scientist and analytics consultant

Connect marketing activity to customers and revenue.

I connect campaign exposure, leads, verified visits, and sales so businesses can see which campaigns are associated with revenue and decide where to move spending. I also build document-search and reporting systems when the underlying records are difficult to use.

Discuss a measurement problemView resume

Selected results

30%

higher average lead conversion

after prospects were scored and ranked from existing business records

70%

lower recorded cost per attributable dollar of revenue

after audiences based on verified visitors were introduced

2x

foot traffic within one quarter

after local demand research supported a new event format

40%

reported reduction in time spent searching prior reports

after analysts adopted an internal document-retrieval tool

What I can help you measure

The work starts with a decision and the records available to support it. These are the three engagement areas where my experience is strongest.

Campaign and revenue measurement

Connect campaign records with leads, verified visits, and sales so you can see where prospects stop progressing and which campaigns are associated with revenue.

Prospect and demand analysis

Rank existing prospects, compare audience response, and test offers or event formats before committing more time and spending.

Document search and data workflows

Retrieve evidence from internal documents, check generated claims, and turn inconsistent files into records that can support repeatable reporting.

See services →

Commercial case studies

Each case study explains the records, comparison, work performed, observed result, and limits of the evidence.

Connecting paid campaigns to verified visits

Phone numbers and personalized offer codes linked campaign activity with in-person visits and attributable revenue.

30% higher average lead conversion and 70% lower recorded cost per attributable dollar of revenue.

Finding demand for a new event format

Reddit, Meetup, and local demand records identified language exchange as an underserved category.

Foot traffic doubled within one quarter after launch.

Searching prior research in plain English

A retrieval interface indexed internal reports and returned relevant passages for recurring analyst questions.

Analysts reported spending about 40% less time finding prior research.

Read all case studies →

Technical evidence

Public projects show how I structure data, test models, expose limitations, and make the result inspectable.

AI-Verified Economic Analytics Pipeline

Calculates economic claims in Python, drafts the explanation with a language model, and checks every displayed value against SQLite.

NLP Text Analytics

Filters 2,382 Steam reviews, compares sentiment scores with recommendation labels, and groups recurring themes.

Spreadsheet-to-Database Consolidator

Standardizes inconsistent files, validates every row, and keeps rejected records with their source and failure reason.

Browse technical work →

Applied data science, from question to use

I have more than four years of experience across marketing measurement, forecasting, experimentation, NLP, retrieval, and data workflows. My mathematics and econometrics training shapes how I define comparisons and uncertainty. My consulting work shapes the rest: the analysis must reach a person who can use it.

About my workView resumeContact me