April 2026
5 A/B Testing Traps I've Seen After Running Hundreds of Experiments
"Our A/B test is significant!" is the most dangerous sentence in data science. Here's why, and what to check before you celebrate.
Read more →Hi, I'm
Senior Data Scientist at Intuit — turning customer data into GenAI-powered self-help experiences. From supply chains to machine learning.
About Me
9+ years of turning messy data into clear decisions across manufacturing, e-commerce, and tech.
I went from optimizing physical supply chains to optimizing digital customer journeys — and I've loved every step of the transition.
Today at Intuit, I design generative AI experiences that help millions of customers find answers faster. I run experiments across products, build automated reporting pipelines, and use transcript analysis to surface insights at scale.
Before Intuit, I spent 2+ years at Wayfair where I managed analytics for 1,000+ stakeholders, reactivated supply chains to unlock $105M in revenue, and built optimization tools that improved delivery reliability by 30%. At Vista, I was the analytical lead mapping customer journeys across 5+ product teams.
I hold a Master's in Industrial Engineering from NC State University (3.75 GPA) and am a certified PMP. I'm passionate about the intersection of data science, product thinking, and customer experience.
Career Journey
Senior Data Scientist
Intuit · Mountain View, CA
Senior Analytics Engineer
Vista · Santa Clara, CA
Analytics Manager
Wayfair · Berlin, Germany
Senior Data Analyst
Wayfair · Boston, MA
Supply Chain Analyst
Wayfair · Boston, MA
M.S. Industrial Engineering
NC State University
Technical Skills
Portfolio
End-to-end data science projects spanning recommendation systems, experimentation, GenAI, and supply chain optimization.
A hybrid recommendation system combining content-based, collaborative filtering, and popularity-based approaches. Built with real movie data, evaluating cold-start strategies and ranking metrics.
An interactive playground for designing and simulating A/B tests. Explore power analysis, sequential testing, sample ratio mismatch detection, and multiple comparison corrections in real time.
An LLM-powered tool that analyzes customer support transcripts at scale. Classifies issues, extracts sentiment, generates summaries, and identifies trending topics using public datasets.
Interactive dashboard for supply chain optimization featuring demand forecasting, route planning visualization, and KPI tracking. Bridges operational expertise with modern data science.
Interactive dashboard analyzing 2.4M tweets across 10 years. Explore trending topics, sentiment shifts, user segments, and engagement heatmaps with filterable charts.
Blog
Thoughts on experimentation, GenAI, career pivots, and lessons from the analytics trenches.
April 2026
"Our A/B test is significant!" is the most dangerous sentence in data science. Here's why, and what to check before you celebrate.
Read more →April 2026
I used to spend 3 hours reading customer support transcripts. Now an LLM does it in 30 seconds. But getting it to work well required more data science than I expected.
Read more →April 2026
5 years ago I was optimizing truck routes. Today I'm building GenAI experiences at Intuit. Here's what nobody tells you about pivoting careers.
Read more →April 2026
The cold start problem is real. Matrix factorization is elegant but fragile. And the best recommendations come from combining simple approaches.
Read more →