Applied mathematics graduate pursuing a master of data science with over two years of experience in developing technical data solutions for engineering and motorsports. Proficient in Python, SQL, database design, and automation, with a strong ability to translate complex technical information into actionable insights. Demonstrated success in collaborating with cross-functional teams to solve analytical challenges and adapt to new technologies. Aiming to leverage programming, systems thinking, and problem-solving skills in an entry-level systems engineer role focused on industrial automation and controls.
Overview
4
4
years of professional experience
Work History
Material and Data Analyst
Theory Communication and Design
2023.10 - Current
Developed automated data pipelines and reporting solutions using Python and SQL for national motorsports clients.
Designed and maintained analytical databases supporting performance analysis across multiple technical programs.
Automated recurring reporting workflows, reducing manual effort while improving data accuracy.
Built dashboards and performance reports used by client leadership to guide strategic decision-making.
Collaborated directly with engineering teams, technical partners, and clients to translate complex datasets into actionable insights.
Managed large structured datasets from multiple digital platforms while ensuring data quality and consistency.
Presented technical findings and recommendations to internal teams and external stakeholders.
Supported projects involving Mobil 1, Chevrolet Performance, NASCAR, IMSA, and professional racing organizations.
Performed and interpreted lubricant condition analyses using industrial diagnostic instrumentation, communicating technical findings to engineering teams to support equipment reliability and maintenance decisions.Conducted in-depth analysis of material data and engine oil elements to enhance diagnostics for Mobil 1 racing teams, improving performance insights.
Trained machine learning models on social media data to optimize budget allocation and audience selection, maximizing campaign effectiveness.
Intern
Racey Engineering
2022.09 - 2022.12
Prepared technical drawings, project plans, and construction documents using industry-standard engineering software to support project development.
Supported project planning, cost estimating, and engineering documentation for infrastructure and land development projects, enhancing project delivery.
Collaborated with engineers, survey crews, contractors, and local agencies to ensure project execution met design standards and regulatory requirements.
Assisted civil engineers with residential, commercial, and municipal engineering projects through various phases of design and development.
Supported land surveying operations, including field data collection and preparation of engineering documentation.
IBM, IBM Data Science | Machine Learning with Python, 10/23, IBM Data Science | Data Visualization with Python, 09/23, IBM Data Science | Data Analysis with Python, 08/23, IBM Data Science | Databases and SQL for Data Science with Python, 08/23, IBM Data Science | Data Science Methodology, 07/23, IBM Data Science | Python for Data Science, AI & Development, 07/23
Virginia Military Institute, Dean's List, Participant in Consortium for Mathematics and Its Applications (COMAP), Participant in Military Operational Research Society Competition, Presented Senior Capstone at Virginia Military Institute Undergraduate Research Symposium