About Dark Sky Data

Dark Sky Data Wants You to Win With Data Analytics

At Dark Sky Data, we believe in the limitless possibilities of data. We blend industry experience with innovative talent, making complex data simple, yet powerful, without the jargon. Our tailored data solutions give you the tools to turn insights into action, ensuring your marketing dollars go further.

Our deep expertise in industries like direct-to-consumer marketing, vehicle service contracts, and home warranties means we can help you unlock the power of your data across sectors.

While we currently focus on marketing data optimization, our vision is to empower businesses across industries—from marketing to operations—with the insights you need to drive growth.

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

With a background in astrophysics, JT Turner has extensive experience managing large-scale datasets and complex data challenges. JT has worked with massive datasets and computations on supercomputers to model the early universe. JT simulated the universe's evolution following the Big Bang, particularly focusing on the inflationary phase and its aftermath, and the role played by oscillons in some models. This was done by simulating complex scalar field dynamics after inflation. 

JT has also conducted planetary research at the Lowell Observatory. Their work focused on the spin orbit angle of TOI-1259Ab, a hot Jupiter orbiting a K-dwarf star with a white dwarf binary companion using TESS data and Python to measure the planet's obliquity by calculating how spot crossings in transit light curves changed over time.

JT has conducted research that enables astronomers using the Green Bank Telescope to optimize their data gathering by detecting, predicting, and therefore minimizing interference to radio astronomical observations from RFI emissions. They have also analyzed radio signals to find galaxies. 

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

JT earned their Bachelor of Science in Astrophysics with a minor in Classical and Cultural Studies from Haverford College. JT is currently attending a Columbia University Data Analytics Boot Camp.

With a strong foundation in computer science and mathematics, Marco Torresarpi brings an understanding of machine learning, artificial intelligence, and software development to Dark Sky Data. While at Intercam Banco, a financial institution in Mexico, Marco worked on developing a neural network to predict stock prices, integrating advanced AI features into their mobile app. His programming expertise spans multiple languages, including Python, C++, Java, JavaScript, and OCaml.

At University, Marco dove into advanced AI and machine learning courses, including computer vision, where he explored how computers interpret images in 3D space and applied innovative techniques to calculate spatial relationships. His passion for programming extends to game design, leading a team developing the puzzle game Hellfrost, which features algorithmic logic to determine player movements. The game is set for release by the end of November.

Marco earned his Bachelor of Arts in Mathematics and Computer Science from Cornell University. Marco is currently attending a Columbia University Data Analytics Boot Camp

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.

Chad Pryor, a seasoned Solutions Architect and Engineer, brings over 20 years of experience in the technology industry. His areas of specialization include data engineering, technical advisory, and client engagement. He has a proven track record of transforming complex initiatives into actionable solutions that boost client satisfaction and drive revenue growth.

​Chad has held leadership positions at major organizations, including Elastic, SAP Concur, Microsoft, and Thomson Reuters Americas. At Elastic, he managed consulting projects in Financial Services, Telecommunications, and E-commerce, achieving notable results such as reduced operational costs and improved fraud detection.

As an independent contractor, Chad provides expert guidance on data best practices, integrations, governance, and architectural oversight. He has collaborated with diverse clients, including startups, Fortune 100 and Fortune 500 companies, and government agencies across industries such as Energy, Retail, and Healthcare.

Chad excels at transforming raw data into strategic assets. By analyzing and refining data repositories and integrating artificial intelligence and automation, he enhances processing efficiency and improves decision-making, enabling organizations to leverage their data for sustainable growth.

Chad Pryor

Solutions Architect and Engineer
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  • Case Study: Streamlining Customer Data for Enhanced Analysis
    June 13, 2024

    Colonnade Advisors, an M&A investment bank, faced a significant data challenge when a client provided customer data in an Excel file and CSV format. The data was disorganized, with customer information spread across multiple rows—sometimes as many as ten per customer. With hundreds of thousands of rows, the fragmented data made it nearly impossible to efficiently manipulate or analyze the dataset....