About

Enterprise-quality analytics, built for smaller businesses

I'm Claron Wang. I study statistics at Cornell and have spent five summers doing analytics inside Fortune 500 companies. I started Claron Studio to bring that experience to growing businesses that need analytical support without the cost of a full-time analyst.

Claron Wang

My Journey

Across five summers in data analytics, each taught me a different way to work with data. At EY-Parthenon, I worked as a transactions analyst, helping businesses understand where their value came from and what was really driving growth. At Kroger's food technology team, I brought together messy data from different sources, ran statistical analyses, and built reporting that saved the team hours of work. At GE Aerospace and GE Corporate, I worked with product cost data and built Power BI dashboards that gave teams a clearer view of their performance.

Then, there was a summer working with That's So Sweet!, a local bakery, where I worked directly with the owner to understand demand and figure out how to reduce cookie waste. That project stuck with me as I got to see the direct impact of my work and solve a real sustainability problem. The analyses weren't any different from what I'd used at larger companies, only the scale. That's what I wanted Claron Studio to be about: bringing the same kind of thoughtful, data-driven work to businesses that don't have an entire analyst team at their disposal.

Why small and growing businesses

Small and growing businesses face the same questions large companies do: what will sell, what to stock, where margin is slipping, which customers keep coming back, etc. Big companies have entire teams whose job it is to turn data into insights. Smaller businesses often have the data but not someone with the time or expertise to dig into it.

You shouldn't need a full-time analyst to understand what's happening in your business. Sometimes you just need someone who can sit down with you, make sense of what you already have, and help you figure out what to do next.


Experience

Where I've done this

EY-Parthenon
Transactions analyst

Quality of revenue analysis and growth-driver work — finding where a business's value actually sits and what is moving it.

Kroger
Data analyst · Food technology

Consolidated scattered data sources, cleaned messy inputs, ran statistical hypothesis testing, managed KPIs, and cut reporting hours substantially.

GE Aerospace & GE Corporate
Data analyst · Product cost

Tracked product costs and built live Power BI dashboards that senior leadership used to watch changes as they happened.

That's So Sweet!
Demand analysis · Local bakery

Worked one-on-one with the owner to forecast daily demand and identify sales trends for specific product categories.

Cornell University
B.S. Statistics

Developed the statistical foundation behind the forecasting, testing, and modeling used in client work.

Let's look at your numbers together

Bring the questions you've been meaning to answer and I'll investigate how your data can best support you.