Payas Parab

Inquirer
DISC Type : cd

Analytics Engineering at Proper Hospitality

Los Angeles, California, United States

Overview

Payas is a data and analytics engineer at Proper Hospitality, building out the companys data and AI stack. A UC Berkeley triple major alumnus, he is also a Technology and Human Rights Fellow at Harvard, researching the secondary data economy. He has a diverse background in finance, quantitative analysis, and big tech.

Actively involved in his community, Payas serves as an elected Business Director on the Downtown Los Angeles Neighborhood Council. He is passionate about solving challenging technical problems with real-world impact and is known for being the designated "top-tier meme admin" at the companies he has worked for.

Unique fact: Payas triple-majored in Business, Economics, and Computer Science during his time at UC Berkeley.

Personality Overview

Demanding

Hard To Convince

ROI Conscious

They focus on objectivity in a pitch and pay little attention to bells and whistles.  They don’t always try to control the conversation but neither do they like yielding it fully. They respond well to confident salespeople.

Topics They Care About

Data Privacy
His Harvard fellowship focuses on the secondary data economy, and he has written about the importance of consumer data protection tools like California's DROP platform.
Modern Data Stack
His current role involves building a unified data warehouse, canonical models, and a guest identity foundation to improve business decision-making at Proper Hospitality.
Local Governance
He was elected to serve as a Business Director on the Downtown Los Angeles Neighborhood Council, where he also chairs the Business & Innovation Committee.

Media Appearances

Payas has no verified media appearances

Work History

2-2026
Analytics Engineering at Proper Hospitality
9-2025
Elected Business Director - Downtown LA Neighborhood Council (South Park) at City of Los Angeles
9-2025
Technology and Human Rights Fellow @ Carr-Ryan Center at Harvard Kennedy School
1-2025 - 1-2026
Data Science & Analytics at Mainstay
7-2024 - 1-2025
Data Engineering, Analytics, and Science at BrainForge

Education

Bachelor's degree from UC Berkeley College of Engineering
Bachelor’s Degree from University of California, Berkeley, Haas School of Business

More Information

Social Presence :

Prographics :

Exp : N/A Location : Los Angeles, California, United States Job Level : N/A Designation : Analytics Engineering at Proper Hospitality
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Insights For Selling To Payas

During A Call Or A Meeting

DO's

  • Stress on the business value that your product offers
  • Make sure that they have the necessary authority, they could present false stature sometimes
  • Be crisp while making the pitch

DONT's

  • Refrain from asking too many questions
  • Don’t expect them to change their mind quickly if they say no once
  • Don’t try to be an alpha salesperson, give them equal space

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Payas is

  • Belief in the product plays an important role, followed by objective proof and testimonials.
  • Will you ever get a clear answer from Payas

  • They may hesitate slightly, but if they are not convinced, they will say no.

Insights For Deal Planning

    How fast (or slow) will Payas move?

  • Their decision making speed is somewhere in the middle.
  • Can Payas take some risk or not?

  • They can take risks only after they have analyzed the advantages and disadvantages.

You And Payas

Personality Compatibility


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