Dark Sky Data Wants You to Win With Data Analytics

At Dark Sky Data, we believe in the limitless power of data—and we build tools that make it work for you, fast.

Our products turn messy spreadsheets into instant insight, no models or IT required. Whether you’re tackling cancellations, margin leakage, or marketing waste, our tools show you what’s happening—and what to do next.

We work with VSC and home warranty marketers, administrators, private equity firms, lenders, and equipment finance companies—anyone who needs faster, smarter decisions.

Spend smarter. Retain more. Move faster.

Data is critical to your operations. It’s the underpinning to everything you do - the input to your outputs.

Our Crew

JT Turner

Data Scientist

JT Turner brings advanced computational modeling and statistical analysis expertise to Dark Sky Data. With a background in astrophysics and high-performance computing, JT has extensive experience working with large-scale simulations and complex datasets.

JT’s research has included modeling early-universe dynamics through large-scale scalar field simulations, conducting planetary analysis at Lowell Observatory using TESS satellite data, and supporting radio astronomy research with the Green Bank Telescope by detecting and predicting radio frequency interference (RFI) to improve data integrity and collection efficiency, including published work on radio signal analysis. Across these domains, their work centered on extracting signal from high-noise environments and analyzing system behavior over time.

In their coursework, JT simulated quantum computing using Python. Their work can be found here: Python Simulations of a Quantum Computer.

At Dark Sky Data, JT applies this analytical discipline to duration-based modeling, portfolio performance analysis, and structured data evaluation. Their focus is on building reliable analytical frameworks that support data-driven decision-making.

JT earned a Bachelor of Science in Astrophysics from Haverford College, with a minor in Classical and Cultural Studies. They completed the Columbia University Data Analytics Boot Camp and hold the PCAP™ – Certified Associate Python Programmer (PCAP-31-03) and PCEP™ – Certified Entry-Level Python Programmer (PCEP-30-02) credentials from the Python Institute. JT has also completed AWS Educate’s Machine Learning Foundations, Deep Learning A-Z™: Neural Networks & AI, and Direct Mail Marketing coursework through LinkedIn Learning.

Marco Torresarpi brings a strong foundation in mathematics, computer science, and applied machine learning to Dark Sky Data. His work focuses on developing predictive models, statistical analysis frameworks, and AI-driven systems that transform complex datasets into structured, decision-ready insight.

Marco has developed neural network models for stock price prediction and contributed to integrating advanced artificial intelligence capabilities into financial technology platforms. His technical expertise spans Python, C++, Java, JavaScript, and OCaml, with experience implementing analytical models in production environments.

At Cornell University, Marco completed advanced coursework in artificial intelligence, machine learning, and computer vision, including 3D spatial modeling and algorithm design. His academic work emphasized pattern recognition, model evaluation, and translating theoretical methods into applied analytical systems.

Marco also led the development of the puzzle game Hellfrost, architecting its algorithmic logic and movement systems. The game is fully developed and available on the App Store.

He earned a Bachelor of Arts in Mathematics and Computer Science from Cornell University, completed the Columbia University Data Analytics Boot Camp, and holds the PCAP™ – Certified Associate Python Programmer (PCAP-31-03) and PCEP™ – Certified Entry-Level Python Programmer (PCEP-30-02) credentials from the Python Institute.

Marco Torresarpi

Data Scientist

Gina Cocking

Founder

Gina understands the importance of data analytics in fueling a company’s growth. With decades of experience working with data-driven companies, Gina Cocking brings a wealth of expertise in managing complex business transactions and growth strategies. She recognizes data's critical role in scaling a company and mid-sized companies' challenges in managing and optimizing their data. As the CEO and Managing Director of Colonnade Advisors, she has overseen numerous mergers and acquisitions for mid-sized companies across diverse industries. 

Over her career, Gina has led billions of dollars of M&A transactions while at Colonnade Advisors, J.P. Morgan, Madison Dearborn Partners, and Kidder Peabody.

Gina not only has advisory experience, but also operational. She was the Chief Financial Officer and Chief Human Resources Officer at Cobalt Finance, where she led the company’s financial strategy, and at Healthcare Laundry Systems, a private-equity-backed company, where she successfully orchestrated its sale to a strategic acquirer. Additionally, she served as Line of Business CFO for Consumer Banking and Lending at Discover Financial Services.

Gina holds an AB in Economics and an MBA from the University of Chicago, and she currently serves on the Board of Directors of CIB Marine Bancshares, Inc. She also holds Series 24, 28, 79, and 99 securities licenses.

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