My Experience

Four years across aviation, retail, banking, and defence technology, with the numbers attached.

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Work Experience

Data Science Fellow, Defense Tech AI Team

Booz Allen Hamilton, Hiring Our Heroes Fellowship · Remote, USA · May 2025 to July 2025

  • Delivered a validated asset acquisition pricing model achieving an R² of 0.82, built as a polynomial regression solution over a 50,000+ record dataset, identifying the valuation variables that drive optimal bid decisions at acquisition.

Data and Inventory Analyst

Mountain Works, Inc. · Colorado Springs, USA · December 2023 to April 2025

  • Saved $150k annually and enabled a successful POS migration by analysing and reclassifying 500,000+ records spanning more than 10 years of sales, inventory, customer, and product data in Python and Excel.
  • Cut seasonal product onboarding from 5 months to 3 weeks across 200+ brands and 3 product seasons by building automated Python ETL pipelines covering catalogue ingestion, pricing updates, product creation, and data quality validation.

Data Scientist

Copa Airlines · Panama City, Panama · October 2022 to June 2023

  • Improved revenue forecasting accuracy to 80% across 84 destinations on a 3 month horizon by developing and deploying a multivariate flight demand forecasting model in Python, engineered to process 10M+ records at scale.
  • Reduced manual planning effort by 85% and saved up to $50k per month by automating 7 operational workflows across the Scheduling, Network Planning, and Alliances teams using Python, SQL Server, Tableau, and Alteryx.
  • Built a hub health anomaly detection and risk monitoring dashboard covering 300+ daily flights across 32 countries using Teradata, Tableau, and Alteryx. It was adopted as a core stakeholder resource in monthly CEO and VP briefings, supporting KPI tracking and executive decision making.

Data Analyst and Programmer

Logic Studio · Panama City, Panama · January 2021 to January 2022

  • Centralised 3M+ financial records into a unified data warehouse for BI reporting by building Azure Data Factory ETL pipelines for a top institutional bank.
  • Ensured data governance and regulatory compliance for a national energy authority serving 4M+ citizens by building Python and SQL pipelines to clean, transform, and deliver structured reports to cross functional teams inside an Agile framework.
  • Led a 32 hour cloud and analytics course in partnership with a local university, training staff, growing programme attendance by 200%, and generating $18k+ in revenue.

Education

Degree Institution Detail
MSc Analytics Georgia Institute of Technology Computational Track, December 2023
BSc Computer Science United States Air Force Academy April 2020

Technical Skills

The tools and methods I work with day to day.

Programming and Data

Python (Pandas, NumPy, PyTorch), SQL, R

Machine Learning and AI

Regression, classification, GLMs, time series forecasting, deep learning, unsupervised learning, LLMs, feature engineering, model validation

Statistics and Experimentation

Hypothesis testing, A/B testing, experimental design, Bayesian analysis

Data Engineering and Visualisation

ETL pipelines, large scale processing with Spark, Azure, Tableau, Power BI

Fluent in English and Spanish. Full work authorisation in the United Kingdom, no sponsorship required.