Data & Analytics · New York
Lana Alrefai
Solution Design and Transformation
From messy requirements to working solutions. Now building with AI.
What I do
AI workflows
I build AI workflows that turn messy inputs, like videos, PDFs and filings, into clean data people can use.
Dashboards and data models
I design the data models and dashboards that underwriters and leadership use to make decisions.
Bridging business and tech
I sit with the business to understand what they actually need, then translate it into something engineers can build.
Testing AI
AI is only useful if it's right. I test outputs by hand and measure accuracy before I trust them.
Data quality
I find the gaps and inconsistencies in data before they ever reach a report.
Building products
I like turning a problem I have into a product: scoping a small first version, shipping it, and improving it from real testing.
About
I work between business teams and the technical side, turning what people need into data solutions they actually use. Now I'm building AI tools to solve problems of my own. I'm based in New York, studied Informatics and Data Science at UMass Amherst, and completed MIT's Applied AI and Data Science certificate program.
Outside work:
- Soccer has been my sport since I was a kid, including a stint on my country's under-16 national team. These days I trade the pitch for Pilates and Lagree, where the burn is slow and the shaking is mandatory.
- I'm into fashion, which is a big part of why I love NYC. The best street style is just a walk to the subway.
- I have a goal of trying every hotspot restaurant in the city. The running list of places I want to try is how NYC Spots started, and it's only getting longer.
Career
AXA XL
I lead reporting projects end to end for underwriting and claims teams, from the first conversation with the business to the finished product. I gather requirements, design the data model with data engineers, find and fix data quality issues, and build the dashboards people use to make decisions. I'm the main point of contact for business stakeholders, and I translate what they need into something the technical teams can build.
- Led a year-long project that automated how underwriters take in and check contractor data, which had been done by hand in differently formatted files. It's projected to save underwriters more than 20% of their time and earned me a company award.
- Won over skeptical stakeholders by building a full mockup of the solution before any code was written, and presented it to senior leadership.
- Did prompt engineering and testing on an AI tool that answers underwriters' policy questions.
- Mentor the New York graduate trainees in AXA XL's rotational program, which I completed across Data Science & AI, Data Governance, Data Engineering and BI.
Deloitte
Built a data-quality dashboard tracking how complete and accurate a health-sector client's submitted documents were.