Dan McBride's Resume

Dan McBride

Senior Data Scientist building end-to-end data products, ML systems, and analytics tools.

St. Louis, MO, USA

  • GitHub
  • LinkedIn
nopareidolia.com/dan.mcbride@nopareidolia.com/+13142019625
Dan McBride's profile picture

About

Senior Data Scientist with 8+ years of experience building end-to-end data products, from data labeling and feature engineering to model training, evaluation, deployment, monitoring, and frontend tooling. Experienced across SQL, Python, machine learning, BI/reporting, FastAPI, Docker, and production analytics workflows.

Work Experience

The HR Group
  • Remote

2023 - Present

Senior Data Scientist

Led development of end-to-end ML and analytics tooling for sensor data processing, transforming manual workflows into production-ready data applications.
  • Reduced sensor data processing turnaround time by 75%+ through ML-assisted automation and workflow tooling
  • Cut operational costs significantly by replacing manual analysis steps with repeatable data processing pipelines
  • Built full-stack data science applications spanning ingestion, feature engineering, model evaluation, API deployment, and frontend review workflows
  • Delivered reporting and QA tools that improved visibility into production workflows and enabled faster operational decisions
  • Remote

NP Research
  • Hybrid

2022 - 2023

Data Scientist

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

WW Ventures
  • Remote

2020 - 2022

Data Analyst

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

Education

University of Missouri

2016 - 2020
Bachelor's Degree in Natural Language Processing

Skills

  • Python
  • SQL
  • Machine Learning
  • Model Evaluation
  • Feature Engineering
  • Data Pipelines
  • Tableau
  • Power BI
  • FastAPI
  • Docker
  • Typescript
  • Azure

Side projects

Tree News

Financial news and data integration for traders and investors

  • TypeScript
  • Python
  • AI
  • Integration

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