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I am a data science professional with a PhD in optimization and mathematics, bringing deep theoretical expertise across multiple disciplines to develop effective business intelligence and predictive analytics solutions. I am uniquely positioned to solve complex problems by combining mathematical foundations with practical implementation experience in SQL, Python, and dashboards. I translate technical concepts to diverse stakeholders through data visualizations while rapidly mastering new technologies in business intelligence platforms, data warehousing, and visualization tools.…I am a data science professional with a PhD in optimization and mathematics, bringing deep theoretical expertise across multiple disciplines to develop effective business intelligence and predictive analytics solutions. I am uniquely positioned to solve complex problems by combining mathematical foundations with practical implementation experience in SQL, Python, and dashboards. I translate technical concepts to diverse stakeholders through data visualizations while rapidly mastering new technologies in business intelligence platforms, data warehousing, and visualization tools.

Jeremy C. Hale

Data Scientist, Data Analyst, AI Engineer, +2

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I am a data science professional with a PhD in optimization and mathematics, bringing deep theoretical expertise across multiple disciplines to develop effective business intelligence and predictive analytics solutions. I am uniquely positioned to solve complex problems by combining mathematical foundations with practical implementation experience in SQL, Python, and dashboards. I translate technical concepts to diverse stakeholders through data visualizations while rapidly mastering new technologies in business intelligence platforms, data warehousing, and visualization tools.…I am a data science professional with a PhD in optimization and mathematics, bringing deep theoretical expertise across multiple disciplines to develop effective business intelligence and predictive analytics solutions. I am uniquely positioned to solve complex problems by combining mathematical foundations with practical implementation experience in SQL, Python, and dashboards. I translate technical concepts to diverse stakeholders through data visualizations while rapidly mastering new technologies in business intelligence platforms, data warehousing, and visualization tools.

Available to hire

I am a data science professional with a PhD in optimization and mathematics, bringing deep theoretical expertise across multiple disciplines to develop effective business intelligence and predictive analytics solutions.

I am uniquely positioned to solve complex problems by combining mathematical foundations with practical implementation experience in SQL, Python, and dashboards. I translate technical concepts to diverse stakeholders through data visualizations while rapidly mastering new technologies in business intelligence platforms, data warehousing, and visualization tools.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Spanish; Castilian

Intermediate

German

Beginner

Work Experience

Data Analyst II, Contractor at Clayton Homes

April 1, 2025 - April 1, 2025

Engineered SQL queries in an EDW architecture, reducing data loading and dashboard processing times. Designed comprehensive dashboards in Tableau to automate daily reporting tasks, eliminating a manual daily task for business partners. Collaborated with cross-functional stakeholders to translate business requirements into data-driven solutions, streamlining and enhancing decision-making processes.

Data Science & Optimization Engineer I at ORTEC

August 1, 2024 - August 1, 2024

Developed mathematical optimization models across logistics, energy, and manufacturing sectors, delivering operational improvements with multi-million dollar impacts. Created original algorithm for global petrochemical shipping calculations enabling near real-time decisions for billion-dollar asset portfolios in transport and contract decision-making, generating millions in potential profit. Built interactive dashboards for wind farm scheduling, pipeline optimization, and production planning that delivered feasible schedules with built-in buffer capacity. Worked in an Agile environment with Git, JIRA, and Azure DevOps, rapidly adapting to client needs through iterative development with cross-functional teams.

Research Data Scientist at U.S. Dept. of Energy, and University of Tennessee

September 1, 2022 - September 1, 2022

Developed modeling, analysis, and data techniques in collaboration with the U.S. Department of Energy at Y-12 National Security Complex and the University of Tennessee, Knoxville. Communicated complex technical concepts to stakeholders with varying expertise levels, project roles. Developed an original Partially Observable Markov Decision Process (POMDP) model for machine health optimization in additive manufacturing, improving part quality and maintenance efficiency. Implemented machine learning, reinforcement learning, and statistical modeling in Python to analyze large unstructured and limited datasets for predictive analytics and data science applications.