Dan McBride's Resume

Dan McBride

Senior Data Scientist / AI Engineer building production ML, RAG evaluation, and decision systems.

St. Louis, MO, USA

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About

Senior Data Scientist / AI Engineer with 8+ years of experience turning ambiguous data problems into production ML, analytics engineering, and decision-support systems. Covers senior-scope work across problem framing, metric design, feature engineering, anomaly detection, model evaluation, RAG/LLM evaluation, deployment, monitoring, BI, and stakeholder enablement. Strong in Python, SQL, MLOps, experimentation, causal inference, FastAPI, Docker, React, TypeScript, and shipping reliable systems people use.

Work Experience

The HR Group
  • Remote

2023 - Present

Senior Data Scientist

Builds production ML and analytics applications for sensor-data operations, converting manual review into repeatable, measurable workflows.
  • Reduced sensor-data processing turnaround time by 75%+ through ML-assisted pipelines, workflow automation, and reviewer-facing tools
  • Cut operational costs by replacing manual analysis steps with repeatable data processing, QA, and reporting workflows
  • Built full-stack data science applications spanning ingestion, feature engineering, anomaly detection, model evaluation, FastAPI services, and frontend review workflows
  • Partnered with stakeholders to translate operational bottlenecks into production analytics tools for faster QA, reporting, and operational decisions
  • Remote

NP Research
  • Hybrid

2022 - 2023

Data Scientist

Delivered data science and analytics consulting across machine learning, BI, reporting, and operational data workflows.
  • Developed anomaly-detection and model-evaluation workflows for large, heterogeneous datasets
  • Built Tableau dashboards and SQL-backed reporting views for bid, revenue, and operational performance analysis
  • Created data processing and visualization tools for exploratory analysis, stakeholder review, and repeatable decision-making
  • Translated ambiguous business questions into metric definitions, analytical workflows, and reporting outputs
  • Hybrid

WW Ventures
  • Remote

2020 - 2022

Data Analyst

Supported venture investment research, diligence, and portfolio analysis through market data modeling, reporting, and operational analytics.
  • Built market maps, company research datasets, and competitive analyses to support investment thesis development
  • Created financial and operational models for investment evaluation, market sizing, growth analysis, and portfolio performance review
  • Developed dashboards and recurring reports for pipeline tracking, deal-flow analysis, and investor-facing portfolio updates
  • Turned fragmented research, CRM, and financial data into structured reporting workflows for partners and stakeholders
  • Remote

Education

University of Missouri

2026
M.A. Math - Data Science

University of Missouri

2016 - 2020
B.A. English - Natural Language Processing

Skills

Machine Learning & AI

  • Machine Learning
  • Anomaly Detection
  • Feature Engineering
  • Model Evaluation
  • MLOps
  • Experiment Tracking
  • Model Monitoring
  • Drift Detection
  • RAG
  • RAG Evaluation
  • LLM Evaluation
  • LLM Reliability

Experimentation & Analytics

  • SQL
  • Causal Inference
  • Experimentation
  • A/B Testing
  • Power Analysis
  • KPI Design
  • Data Pipelines
  • Analytics Engineering
  • dbt
  • DuckDB
  • Prefect
  • Tableau
  • Power BI

Engineering, MLOps & Delivery

  • Python
  • FastAPI
  • API Design
  • Docker
  • React
  • TypeScript
  • PostgreSQL
  • Azure
  • Evidently
  • Weights & Biases
  • Production Deployment
  • Stakeholder Communication
  • Technical Leadership

Projects

Production ML Monitoring App

MLOps application for sensor anomaly detection that compares candidate models, tracks experiments, serves inference, logs predictions, produces drift reports, and defines retraining triggers.

  • Python
  • FastAPI
  • W&B
  • Evidently
  • Docker

RAG Evaluation and LLM Reliability Lab

LLM evaluation harness for retrieval-augmented generation with deterministic retrieval, structured citations, a 60-question evaluation set, refusal checks, and cost and latency tracking.

  • Python
  • FastAPI
  • React
  • RAG
  • Evaluation

Experimentation and Causal Inference Toolkit

Decision-support toolkit for product experimentation and causal inference, covering power analysis, A/B testing, CUPED, Bayesian and sequential testing, diff-in-diff, IPW, uplift modeling, and synthetic control.

  • Python
  • Statistics
  • Causal Inference
  • React

Cloud Data Platform Mini-Lakehouse

Analytics engineering mini-lakehouse that ingests FRED and GDELT data, builds raw-to-mart dbt models, runs quality checks, orchestrates refreshes, and publishes a BI-facing report.

  • Python
  • dbt
  • DuckDB
  • Prefect
  • BI

Nous Hermes

Agentic task-execution platform with Docker-confined runs, YAML task definitions, command allowlists, isolated workspaces, artifact capture, metadata, fixture tasks, and an inspection UI.

  • Python
  • Docker
  • Agents
  • TypeScript

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