Economics student · Binghamton University

Richie Lin

Business &
marketing analytics.

I’ve worked on child care outreach, desk product messaging, and restaurant sales. Across those projects, I’ve used research and data to decide what to improve or test next.

BA Economics · Accounting minor
Binghamton University · Class of 2028

Portrait of Richie Lin
Based in New YorkEconomics at Binghamton University
Say hello

Selected work

Customer patterns and business decisions.

Independent analysis, internship work, and externship projects. Each case explains what I did, what I found, and the recommendation that followed.

Six cases across internships, externships, and independent analysis.

View all work

Focus areas

Where I’d like to keep working.

Business analysis and marketing are my main interests. These pages connect each area with relevant projects and examples of how I approach the work.

Further interests include data, strategy, product, and AI workflows.

Explore all focus areas

Working notes

Two examples worth working through.

A report that counts sales twice, and a test with more signups but no clear winner. Both use invented data so the calculations can be shared and checked.

SQL / Reporting qualityInvented data

Combining records can count sales twice.

A database join combines related records. In this example, combining orders and advertising records directly repeats some sales. Total each source by product first, then check that the numbers match.

Revenue · Same scale from $0 to $500

Source ordersThe original total$320
Combine records directlySome sales are counted again$490
Total each source firstThe report matches the source$320
Inspect the query & source tables ↗
Marketing / ExperimentationInvented data

More signups do not settle the question.

More people signed up after seeing version B. The sample is still too uncertain to tell whether B reliably improves the signup rate. It is not enough to declare a winner.

Signup rate · Scale from 0% to 10%

Version A60 signups / 1,200 visitors5.0%
Version B72 signups / 1,200 visitors6.0%
View the counts together
Comparison using invented campaign data
VersionVisitorsSignupsSignup rate
A1,200605.0%
B1,200726.0%

Signup rate means signups divided by visitors. The difference is 1 percentage point. Its approximate 95% uncertainty range runs from negative 0.82 to positive 2.82 percentage points.

Read the decision & assumptions ↗
Product marketing

Illustrative sample · Fictional product

Product messaging brief

An exercise in explaining a product clearly, supporting each promise, and planning how to test the message.

Read sample

Experience

Where I’ve worked.

A few of the teams and programs behind the projects above.

About me

Studying economics.
Applying it to the work.

I’m an Economics student at Binghamton University with a minor in Accounting. My work has involved customer research, marketing, and everyday operating decisions.

At NYUC, I revised regional recommendations after staff feedback. At Romin, I worked with developers on customer feedback and product updates. In my independent analysis, I used Python and SQL to study purchasing patterns and check the numbers.

Education
Binghamton University
BA Economics · Accounting minor
Expected May 2028 · GPA 3.3/4.0
Honors
Dean’s List (2024 to 2025)
Coach Dream It Real Scholarship Recipient
Campus involvement
Marketing Association · Peer Education
Sep 2025 to Present
Explaining marketing concepts and supporting fellow club members.
Languages
English · Native
Mandarin Chinese · Proficient

Analytics & validation

Excel · SQL / SQLite · Python / pandas / scikit learn

See the customer analysis ↗

Reporting & communication

Plotly · HTML/Chart.js · Google Sheets · PowerPoint

See the business recommendations ↗

Marketing & automation

A/B testing · Market research · Positioning · n8n · Gemini

See the research workflow ↗

Contact

Thanks for taking a look.

For a question about a project or an opportunity to work together, email me.

richielin02@gmail.com More ways to get in touch