01 / Analytics Engineer
I structure messy data, fix broken handoffs, and catch patterns before they become problems. Then I use super intelligence to make the answers plain for the people doing the work.
Latest post
On November 3, 2026, Democrats won the House and the Senate, and the winners talked about neighbors instead of enemies. What James Talarico called a politics of love, why it won in red states, and how to tell whether it lasts.
Read the post02 / Experience
Inside financial and operational data teams. Out on the floor in retail, food service, and home improvement sales. Each role left a fragment: a spreadsheet, a closing shift, a handoff that broke. Put together, they show where the numbers and the work drift apart.
03 / Approach
Messy data gets structured. Patterns get caught before they become problems. Then super intelligence turns the answer into plain English: a blog post with a notebook anyone can run, or a daily Tidbit on LinkedIn.
04 / Outcome
The goal was never a prettier chart. It's the moment someone stops guessing and makes the call.
100K+
Satisfied Customers
10+
Professional References
25+
People Led
$50M+
in Sales
Super Intelligence Leader, ten years on both sides of the dashboard, turning fragmented tidbits into confidence.
Four pillars, in the order the work happens: from scattered data to a call someone can make with confidence.
Insights
Super intelligence in plain English, with notebooks you can run yourself.
On November 3, 2026, Democrats won the House and the Senate, and the winners talked about neighbors instead of enemies. What James Talarico called a politics of love, why it won in red states, and how to tell whether it lasts.
At Sandy Hook, Covenant, and Silver Rail, attackers shot through the glass of locked doors. Locks are nearly universal now. The next layer is what sits behind the door: no classrooms on the first floor.
A data science case study on the business of Halloween. Walmart and wholesale data from Hugging Face show when stock is bought, when shoppers buy, and how much a store should order when it can't know, with the full notebook to run yourself.
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Analytics engineer turning fragmented tidbits into confidence: messy data structured, patterns caught early, answers made plain with AI.
Copyright 2026 Christopher A. Rotunno. All Rights Reserved
