Data Engineering / Analytics / Applied AI

Niam LeStourgeon

I turn complex data into useful systems.

I build end-to-end data pipelines, analytical tools, and AI-powered workflows that turn raw information into decisions.

Phoenix, AZ · Open to internships and full-time roles

Now building · Tick Forward

  1. Market data inPrice and headline snapshots on a schedule
  2. Models score itRidge logistic on numbers (AUC 0.925), Laya on text
  3. Guardrails decide$5,000 position cap, $250 daily loss limit
  4. Paper trade, then gradeAlpaca paper account, time-split evaluation

Impact at a Glance

1
Year Building
0.925
Regime AUC, Tick Forward Model
4
Projects Built
15
Users Across Projects

Featured Work

Featured

Agents · Analytics · AI

Fantasy Football Agent

Fantasy Football research took more time than I had, so I built an agent that does it and interprets the results the way I would. It saves me countless hours so I can focus on more important work.

PythonClaude APIAgents
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AI · Finance · Local models

Tick Forward

A trading bot that trains its own local models (Qwen and Laya) to read financial data fast and cheaply, with hard risk limits before any real money is involved.

PyTorchQLoRAPaper trading
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Core Stack

Python PyTorch AWS Cloud Services PostgreSQL Claude Code/API PowerBI Excel