DATA SCIENTIST · COMPUTATIONAL MATHEMATICIAN · EDUCATOR

Torre Caparatta,
Ph.D.

I turn mathematics, statistics, and machine learning into practical solutions for real-world problems.

Torre Caparatta
Ph.D. Computational Mathematics

Math meets data.

I’m a data scientist with a Ph.D. in Computational Mathematics and a background spanning statistics, optimization, machine learning, and higher education.

I enjoy taking messy, ambiguous problems and turning them into models, analyses, and tools that people can actually use. My work has included predictive maintenance, optimization, cost analysis, experimentation, and data visualization.

PythonSQLRSASMachine LearningStatisticsOptimizationBigQueryAzureFabricDatabricksSnowflakeQlik SenseData Visualization
February 2026 — PRESENT

Data Scientist

UNC Health

Designs and develops enterprise-class, advanced analytic models to understand and solve complex business problems. Creates models by analyzing large data sets from various sources and processes.

Establishes scalable, efficient, automated processes for large scale data analyses and model development, validation, and implementation.

Ensures consistent, meaningful reporting and output formatting across all deliverables.

Develops and documents technical designs such as Entity-Relationship Diagrams (ERD), data flow diagrams, component diagrams, architecture design documents, etc.

Drafts and presents analytic proposals, designs and solutions to client stakeholders crafted to address both recognized and unrecognized needs and opportunities that are grounded in domain knowledge.

Interfaces with relevant stakeholders to assist in lifecycle activities such as requirements gathering, research activities, and solution architecture and design.

Organizes methods, plans, and data constructs for effective clinical and business analyses.

August 2025 — PRESENT

Lecturer

UNC Greensboro · Department of Mathematics & Statistics

Design and deliver comprehensive lesson plans and course materials for undergraduate level courses

Contribute in developing new courses to enhance undergraduate understanding of mathematical and statistical topics

May 2024 — January 2026

Data Scientist

Old Dominion Freight Line

Built a truck rotational model in Python/SQL, reducing projected fleet costs by 40%.

Developed a mileage prediction model that uncovered $14M in avoidable truck repair costs.

Validated business logic of new Special Routing tool pre/post-launch to ensure accurate automation.

Lead cross-team integration of Optym HaulPlan routing software, including BRDs and UAT testing.

Define data flows and ensure reporting accuracy for a new yard truck assignment app.

Deliver executive dashboards and insights via Python and Qlik Sense visualizations.

August 2019-May 2024

Graduate Teaching Assistent

UNC Greensboro · Department of Mathematics & Statistics

Design and deliver comprehensive lesson plans and course materials for undergraduate level courses

Participate actively in statistical consulting sessions within the Statistical Consulting Center

Fulfill the role of Graduate Senator, providing assistance and support to fellow graduate students

August 2023 - February 2024

Adjunct

Elon University · Department of Mathematics and Statistics

Tailor instruction to undergraduate students on various mathematical and statistical methods

Utilize a range of tools for analyzing datasets, including Excel, StatCrunch, and others

May 2023 - July 2023>

Web Assitant (Seasonal Position)

UNC Greensboro · School of Health and Human Sciences

Migrated web content to a new format, ensuring seamless transition and improved user experience

Developed and designed web pages on WebPress, adapting to accommodate existing content

Utilized Photoshop to edit and enhance images, ensuring high-quality visuals

Conducted thorough quality checks on both existing and new content to ensure accuracy to brand standard

Projects that solve problems.

A few examples of applied data science, modeling, and optimization.

02

OPTIMIZATION

Truck Rotation Model

Built a decision model to improve fleet rotation and reduce projected maintenance costs. The resulting approach was implemented by IT.

40% projected reductionPython
03

DATA SCIENCE

Operational Analytics

Created repeatable analyses and visualizations to support cost studies, real-estate decisions, experiments, and operational planning.

PythonSQLVisualization

I still love
teaching.

My academic background is rooted in mathematics and statistics, and I enjoy making technical material approachable, useful, and engaging.

I’m particularly interested in introductory statistics, applied mathematics, data science, and courses that connect quantitative ideas to real-world applications.

Invite me to teach →
UNC Greensboro

Ph.D. in Computational Mathematics

August 2019 - May 2024
UNC Greensboro

Post-Baccalaureate Certificate (PBC) in Statistics

August 2019 - December 2023
UNC Greensboro

M.A. in Mathematics

August 2019 - December 2022
UNC Greensboro

B.S. in Mathematics, Minor in American Sign Language Deaf Studies

August 2016 - May 2019
Epic

Clinical Data Model

August 2026
Epic

Cosmos for Data Scientist

July 2026
Epic

Clarity Data Model

March 2026
Epic

Cogito

March 2026
Epic

Caboodle Data Model

March 2026
Snowflake

Generative AI Professional Certificate

December 2025
Python Institute

PCAP – Certified Associate Python Programmer

October 2025
Microsoft

Microsoft Certified: Azure Data Scientist Associate

June 2025
Qlik

Qlik Sense Business Analyst Certificate

June 2025
DeepLearning.AI, Stanford University

Machine Learning Specialization Certificate

January 2024
Coursera

IBM Data Science Professional Certificate

January 2023
Coursera

Google Data Analytics Certificate

December 2022

Published

2024

Caparatta, T., Pauli, S., & Saidak, F.

Zeros of Fractional Derivatives of Polynomials

Experimental Mathematics, 1–19.

DOI →

Let’s build something
useful.