JAKE JOHNSON

Dallas-Fort Worth, TX | jajo9147@gmail.com | (919) 525-0063

AI/ML STRATEGY | DATA SCIENCE LEADERSHIP | MBA | U.S. ARMY RANGER SPECIAL OPERATIONS VETERAN

Forward-thinking AI/ML Director and Army Ranger veteran leveraging 13+ years of leadership to drive enterprise data transformation. Specialized in bridging technical architecture with C-suite business strategy, overseeing $297M+ in AI portfolio value and $10.8M annual budgets across Fortune 50, defense, and fintech sectors. Combines an MBA in Data Analytics with elite military operational discipline (TS/SCI clearance) to build high-performing data science teams, deploy scalable GenAI solutions, and deliver massive top-line ROI.

Experience

Verizon
Associate Director – AI/ML & Data Science, Irving, TX Jan 2024 – Current
  • Unlocked $297M in annual incremental revenue by architecting a valuation framework for 149 enterprise AI/ML models, creating full visibility into portfolio ROI
  • Directed a $10.8M CAPEX/OPEX budget and a $7M vendor partnership, integrating web-log data into revenue workflows to drive an additional $50M in top-line impact
  • Accelerated project approval timelines by 40% by building and mentoring a 6-person data science team, establishing agile sprints and ML model evaluation best practices
  • Spearheaded GenAI agent development pipeline, evaluating and deploying LLM-powered solutions (Claude, GPT) for customer engagement, internal automation, and AI-driven portfolio analytics
Principal Data Scientist, Irving, TX Jan 2023 – Jan 2024
  • Drove $15M in incremental revenue by engineering and scaling a Mobile-to-Fios cross-sell model to identify high-propensity customer segments
  • Engineered executive intelligence platforms for VP-level leadership, transforming fragmented data streams into real-time KPI dashboards
Dimensional Fund Advisors
Consultant – MBA Capstone Project, Austin, TX Jan 2023 – Jun 2023
  • Sharpened strategic portfolio insights for internal clients by building analytics tools to process large financial datasets
U.S. Army: 75th Ranger Regiment
Senior Manager – Financial Technology, Fort Benning, GA Jan 2021 – Jan 2023
  • Slashed contract costs by $5M annually by managing a $102M portfolio, optimizing SAP KPI analytics, and overhauling vendor management processes
  • Reduced financial reporting cycle times by 30% by directing a 17-member cross-functional team to redesign workflows for mission-critical funding decisions
U.S. Army: 82nd Airborne Division
Technology Program Manager, Fort Bragg, NC Jun 2018 – Jan 2021
  • Cut mission preparation time by 3 hours per event by building intelligence dashboards and data pipelines to optimize the realignment of 600+ personnel
  • Commanded 32 zero-casualty airborne operations, pioneering the use of real-time data visualization for tactical decision support in high-stakes environments
Operations Manager, Fort Bragg, NC Jul 2016 – Jun 2018
  • Directed combat readiness for 45 personnel across 78 flawless airborne operations and 118 training events

Education

UT Austin The University of Texas at Austin
Master of Business Administration: Data Analytics & Strategy
Aug 2023 – May 2025
University of Colorado University of Colorado at Boulder
Bachelor of Science: Political Science / Economics
Aug 2012 – May 2016

Skills

AI/ML & Languages
Python, SQL, R, TensorFlow, PyTorch, H2O.ai, scikit-learn, LLMs (Claude, GPT), Prompt Engineering
GenAI & MLOps
RAG, Agent Frameworks, MLflow, Flask, Google Apps Script, Git
Cloud, Data & BI
AWS, GCP, Azure, BigQuery, Hadoop, Tableau, Power BI, Looker, Grafana, Qlik
Certs & Clearance
Top Secret (TS/SCI) Security Clearance, Army Ranger, Lean Six Sigma, Agile

Projects

AI/ML Model Portfolio Dashboard

A Google Apps Script web application serving as the operational dashboard for a 210+ model AI/ML portfolio. Features real-time KPI tracking, interactive model health monitoring (AUC, capture rates, scores freshness), filterable model explorer, and capital budget COP with variance analysis. Pulls live data from Google Sheets and renders with ApexCharts.

Google Apps Script JavaScript HTML/CSS ApexCharts BigQuery GCP

PyTorch Tabular Binary Classifier

A neural network built in PyTorch for binary classification on structured tabular data. Simulates real-world use cases such as customer churn prediction or ISR target classification. Achieved 89% test accuracy.

Open In Colab

Customer Churn Prediction with Web API

An end-to-end machine learning project that predicts customer churn. Features a Scikit-learn model served by a Flask API and an interactive frontend deployed with GitHub Pages.

P5.js Dynamic Wave Animation

A procedural wave animation built with P5.js for data visualization and BI dashboards, featuring dynamic parameters and a custom animated logo.