Open to: Sr. Manager Special Projects · Director of Analytics · Chief of Staff

Edwin Adoo

Senior Business Analyst · TD Insurance · MBA · Founder, Jupiter Decision Engine

I advise the C-suite at a Fortune 500.

I built a hedge-fund-grade AI platform from scratch.

I had no engineering background when I started either.

Seven years at TD Insurance advising the C-suite, earning the bank's highest individual honour — the Vision in Action Award of Distinction, given to roughly 1 in 1,000 employees. Outside of work, I designed and shipped Jupiter Decision Engine: a production-grade AI investment platform, 11 modules deep, scanning 12,000+ securities in real time. I had never written a line of code before I started.

Live Demo ↗ About Jupiter Get In Touch
edwin@jupiter ~ zsh
❯whoami
edwin_adoo
→ Sr. Business Analyst, TD Insurance
→ MBA · 10+ yrs · 3× All-Star Award
→ Vision in Action Award of Distinction

❯cat jupiter.md
PROJECT: Jupiter Decision Engine
Production-grade AI investment platform
→ 11 functional modules, live market data
→ 12,000+ securities scanned in real time
→ Kelly criterion capital allocation engine
→ Built from scratch. Zero prior code.

❯cat impact.log
$850K+ cost savings delivered (Saint John Transit)
$1M+ revenue growth driven (NHIA Ghana)
C-suite advisor, 7 yrs in financial services

❯./connect --hire
Edwin Adoo
Edwin Adoo · TD Insurance · MBA
10+
Yrs Experience
3×
TD All-Star
11
Jupiter Modules
01 — About

Most people manage complexity.
I resolve it.

For seven years, I've worked inside TD Insurance — one of Canada's largest financial institutions — as an internal consultant to the C-suite. My job is to walk into rooms full of ambiguity, messy data, and competing priorities, and walk out with a recommendation people can actually act on. Not a report. Not a framework. A decision.

That work has been recognised three times with TD's All-Star award. More recently, I received the Vision in Action Award of Distinction — TD's single highest individual honour, awarded to approximately one in every thousand employees. It's not given for tenure or titles. It's given for impact that others notice before you do.

But the work I'm most proud of didn't happen in a boardroom. I built Jupiter Decision Engine from scratch — a production-grade AI investment intelligence platform with 11 functional modules, live market data feeds, and a real-time scanner evaluating over 12,000 securities. I had never written a single line of code before I started.

What Jupiter proved to me — and what I bring to every room I walk into — is that the hardest problems don't require the most experience. They require the clearest thinking.

02 — Featured Project
◆ Jupiter Decision Engine

I got tired of tools that
showed data but dodged decisions.

So I built what I needed. Jupiter Decision Engine is a production-grade AI investment intelligence platform I designed and shipped entirely on my own — outside work hours, with no prior engineering background. Eleven functional modules. Live market data from multiple APIs. A scanner running across 12,000+ securities in real time. It operates like a system built by a fund. Because it was designed by someone who thinks like one.

Open Live Demo ↗ Fully functional · No login required
🔒jupiterdecisionengine-demo.netlify.app
Jupiter Decision Engine — Dashboard Jupiter Decision Engine — Portfolio Manager Jupiter Decision Engine — Signals Engine
11
Functional Modules
12K+
Securities Scanned
Live
Market Data APIs
0
Prior Code Experience
1
Person. No Team.
Why I built it
Most retail investing tools display data. They don't help you decide. I wanted the same rule-based analytical rigor used by professional funds — applied to my own portfolio — without the emotion and noise.
How it works
Jupiter integrates live market data from multiple APIs, a Kelly Criterion capital allocation engine, and a background scanner that evaluates 12,000+ securities against real-time market conditions — then surfaces decisions, not data.
What it took
Defined the problem. Structured the solution. Executed end-to-end — no team, no engineering background, no playbook. From identifying the user need to shipping 11 functional modules in production.
What it proves
The most valuable skill isn't technical fluency. It's hypothesis-driven thinking — knowing what needs to be true, what data confirms it, and what's the fastest path to an answer. That skill works everywhere.
Platform Modules
01
Portfolio Intelligence
Real-time analytics, risk analysis, and diagnostics across all holdings.
02
Kelly Criterion Sizing
Mathematical position sizing based on conviction and edge.
03
Signal Generation
Quantitative buy, hold, and sell signals — ruled by math, not noise.
04
Discovery Scanning
Market scanning to surface opportunities aligned with the system's rules.
05
Macro Indicators
Macro context layered into signal logic for broader market awareness.
06
Goal Engine
Goal-anchored decision making — every signal tied to your $1M target.
07
Risk Centre
Portfolio heat, exposure analysis, and downside scenario modelling.
08
Jupiter AI
AI-powered analysis layer for natural language portfolio interrogation.
03 — What I Bring

Three things that
make the difference.

A decade of analytical work. A builder's instinct. And the ability to make complexity legible.

01
Analyst
The Person the C-Suite Calls When It's Complicated
Seven years at TD Insurance sitting at the intersection of customer data, risk, strategy, and executive decision-making. Three-time All-Star. Recipient of the Vision in Action Award of Distinction — TD's highest individual honour, given to one in every thousand employees. Not for effort. For outcomes that moved the needle.
02
Builder
Built a Production Platform. Had Never Coded Before.
Jupiter Decision Engine — 11 modules, live market APIs, 12,000+ securities scanned in real time — shipped entirely outside work hours with zero prior engineering experience. What made it possible wasn't a technical background. It was knowing exactly what problem I was solving before I wrote a single line.
03
Impact
The Numbers Are on Record. $850K. $1M+. Documented.
Recommendations I made contributed to over $850,000 in documented cost savings at Saint John Transit. Earlier in my career, I drove $1M+ in revenue growth at the National Health Insurance Authority in Ghana. These aren't estimates — they were tracked, reported, and recognised.
04 — Skills

Core competencies.

Analysis & Strategy
Business Analysis
Requirements, process, systems
Data Analysis
Insights, patterns, visualization
Decision Frameworks
Analytical models, strategy
Stakeholder Communication
Leadership reporting, clarity
Process Improvement
Inefficiency identification
Finance & Technology
Quantitative Investing
Kelly criterion, risk models
Portfolio Analytics
Risk, conviction, sizing
System Design
Architecture, logic, UX
AI / LLM Integration
Prompt engineering, AI tools
Product Thinking
0-to-1 building, iteration
05 — Experience

Professional history.

June 2019 — Present
TD Insurance · Fortune 500
Senior Business Analyst, Voice of the Customer
I work directly with senior leaders across TD Insurance's lines of business as an internal strategy consultant. My role is to take the most complex, ambiguous data problems on the desk — customer feedback, operational signals, risk indicators — and turn them into the kind of clear, pressure-tested recommendations that the C-suite can act on by end of week. I also lead execution across cross-functional programs, which means managing the people, politics, and priorities that make or break a strategic initiative — not just the analysis behind it.
C-Suite Reporting Cross-Functional Leadership Customer Data Analytics 3× All-Star Award TD Vision in Action Award · Top 0.1% of 95,000 Employees
June 2018 — Sept 2018
Saint John Transit · Public Sector
Business Consultant
Brought in to support a restructuring at Saint John Transit, a public-sector authority where every recommendation goes through layers of scrutiny before anyone acts. I ran the financial and operational analysis, translated it into language non-technical leaders could work with, and delivered recommendations that were adopted — contributing to over $850,000 in documented cost savings. Short engagement. Measurable result.
$850K+ Cost Savings Financial Analysis Organizational Restructuring
Sept 2011 — Sept 2017
National Health Insurance Authority · Ghana
Key Account Manager
Six years managing national accounts inside Ghana's public healthcare insurance system — a complex, regulated environment where the stakeholders include government ministries and the margin for error is essentially zero. Grew key segments by 15% through a combination of behavioural analysis, relationship management, and working across operations, finance, and policy teams simultaneously. Contributed to over $1M in revenue growth during my tenure. This is where I learned that the skills that matter most — clarity, consistency, and knowing who actually makes the decision — are the same everywhere you go.
$1M+ Revenue Growth 15% Segment Growth Stakeholder Management Healthcare / Public Sector
Oct 2025 — Present
Independent · Self-Funded
Founder & Lead Architect — Jupiter Decision Engine
I built Jupiter because I couldn't find a tool that actually helped me make better investment decisions — only ones that gave me more data to stare at. So I designed and shipped it myself, entirely outside work hours, starting from zero coding knowledge. It now runs 11 functional modules, integrates live market data from multiple APIs, and scans over 12,000 securities in real time using a Kelly Criterion capital allocation engine. I treated it like a production system from day one — full documentation, version control, governance discipline — because that's the only way I know how to build things.
0→1 Build 11 Functional Modules Kelly Criterion Engine Live Market Data APIs 12,000+ Securities Scanned
06 — Education

Academic background.

Sept 2017 — Oct 2018
University of New Brunswick
Master of Business Administration (MBA)
Graduate business education with focus on strategy, analytics, and organizational decision-making. Applied academic frameworks directly to professional practice — from financial analysis to stakeholder management inside complex institutions.
Strategy Analytics Finance Organizational Behaviour
07 — What Others Say

Don't take my word for it.

From colleagues at TD, MBA peers, and people who've worked directly under me.

"Edwin coached me during my training period at TD Insurance. He has exceptional people skills, is collaborative by nature, and had great product knowledge and technical depth. I recommend him for any leadership position involving complex situation handling."
RP
Rohit Pathak
Application Support Specialist II, Exiger · Former TD Insurance Colleague
"His peculiar ability to interrogate issues and distill the facts influenced me greatly. I know that he puts in great effort to develop emotional intelligence. So, you can count on him to deliver when he gives you his word."
KE
Kingsley Essegbey
M.A. Bioethics · Former Direct Report · Knew Edwin since University
"He was one of the most outstanding individuals I had the privilege to work with. Exceptional clarity, attention to detail, and the ability to read a room and adjust his approach accordingly — it made our entire team more effective."
CK
Crystal Kang, MBA
Senior Portfolio Analyst, lululemon · MBA Peer
"Edwin is an excellent mentor and it is a true reflection of his impeccable leadership skills. He sets high standards for himself in terms of quality and work ethic, and always maintains a calm and collected demeanour, even in the most hectic situations."
AA
Akosua Appiah-Kubi
Technology & Supply Chain Strategist · Former Direct Report
08 — What's Next

Where this is heading.

Jupiter started as a personal tool. It's becoming something more deliberate — and so is the work around it.

01
Jupiter Decision Engine — Live
Jupiter runs live against my own portfolio every day. It generates buy, hold, and sell signals using quantitative rules — no emotion, no second-guessing. Eleven modules in production, real capital on the line. This isn't a side project. It's a system I trust with real decisions.
Live — Active
02
Jupiter Decision Engine — Multi-User Platform
The infrastructure Jupiter runs on was always designed to serve more than one investor. The next phase is opening it to a small group of disciplined, long-term investors who are tired of platforms that perform and tools that don't decide. If that's you, reach out.
In Development
03
Decision Intelligence — Beyond Finance
The same framework that powers Jupiter — structured inputs, mathematical weighting, unemotional outputs — applied to business and organizational decision problems. Where analytical rigor meets strategic clarity.
Planned
09 — Contact
Let's
connect.

If you're a hiring manager who just read this and thought "we need someone like that" — let's talk. If you're an investor who wants early access to Jupiter, same. I respond to people who are specific about what they want.

✉  edwin@jupiterdecisionengine.com Email → in  linkedin.com/in/edwin-adoo Connect →
Open to Opportunities
The right conversation finds the right room. I'm interested in senior roles where strategy, data, and decisions intersect — financial services, fintech, or special projects at scale.
Interested In
Sr. Manager, Special Projects & Integration
Director of Analytics or Decision Intelligence
Chief of Staff, Financial Services or Fintech
Collaboration on Jupiter Decision Engine