Andreas Jackson

Analyst at EY · Berkeley Haas · San Francisco Bay Area

I've run strategy engagements for the Gates Foundation, IKEA, and T-Mobile, shipped and monetized a SaaS product on my own, published an empirical study on how AI models behave on real occupational work, and I build and advise on the digital side of a short-term rental business.

EY  ·  Gates Foundation  ·  IKEA  ·  Edison International  ·  UC Berkeley Haas

Featured projects

Chart showing invented specifics and false claims of source access rising with scaffolding

Does scaffolding substitute for scale?

Scaffolding pushed unfounded claims from 42% to 74%, and the automated grader rewarded it

A pre-registered study of 1,440 AI work products on real occupational tasks. The headline finding is about honesty, and the second finding is that my own measurement instrument failed validation.

AIData
The NotTomorrow web app homepage

NotTomorrow

A full-stack SaaS product designed, built, and monetized solo, from zero to paying users

An AI-powered planning app I took from idea to paid product on my own: product design, engineering, billing, and go-to-market.

ProductDataAI
ABA Consulting: three years, four roles, four client engagements, 80+ candidates recruited

Building the analyst org at ABA Consulting

Three years from analyst to senior advisor: four client engagements, teams of 5 to 8, and the hiring pipeline for 80+ candidates

Delivery and internal operations at a student consulting organization: client work for T-Mobile, IKEA, The Assistance Fund, and the Gates Foundation, plus the recruiting pipeline, training curriculum, and culture the org ran on.

Ops
Small-multiple charts of state electricity demand breaking above its 2010-2019 trend

Data centers and the grid, in SQL

US electricity demand is 127 TWh above trend, and five states hold 60% of the overshoot

A SQL-first analysis of EIA data: which states broke above their 15-year electricity demand trend, whether the excess looks like data centers, and whether new generation is keeping up.

Data
The recommendation engine ranking items against a selected enemy lineup

Recommendation engine for competitive gaming

The best purchase is rarely the strongest counter, so I built a set-overlap ranking algorithm that finds it. Vanilla JavaScript, zero dependencies, one static file.

A recommendation engine built from scratch: custom scoring algorithm, a normalized 38x33 relational dataset compiled from unstructured sources, REST API integration with a 71-asset build pipeline, and an accessible responsive UI, all in framework-free JavaScript.

ProductData
The S&P 500 analyzer showing a price timeline and multi-year returns

S&P 500 return analyzer

Rolling 1 to 30 year returns across 95 years of S&P 500 history, recomputed live

An interactive R Shiny app for exploring the full daily history of the S&P 500: a zoomable price timeline, rolling multi-year total returns, and distribution statistics for any window you pick.

FinanceData

All projects →

Why hire me

The case, in four points

01

I've done the work at real stakes

Bank audits at EY, a partner-selection framework the Gates Foundation acted on, and analytics tooling inside a Fortune 500 utility. The work history is short but it's all load-bearing.

02

I ship, not just analyze

A monetized SaaS product with paying users, a published research study, and a live booking site I built and maintain. The projects have receipts rather than descriptions.

03

I'm fast because I use AI well

I direct AI tools to automate pipelines and build products, which makes me quicker than my years of experience suggest. How I work shows exactly what that means in practice.

04

I show my work

EY assurance habits: figures trace to sources, estimates are labeled as estimates, and metrics the data can't support get left out rather than faked. The write-ups include their own limitations.

Hiring for finance, product, data, or ops?

I'm looking for a full-time role anywhere in the Bay Area, from San Francisco down to the South Bay, plus Santa Barbara or remote. If any of the work here looks useful to your team, I'd love to talk.