Summary
Overview
Work History
Education
Skills
Mathematics and Rock Climbing
Timeline

Sinetac Brown

Woodland Hills,CA

Summary

My data science knowledge is paired with in-depth financial understanding and knowledge of products, marketing and operations.

I will say that in order to get results from data, one must understand the company and its finances. Many data scientists fall short of this aspect and their data becomes partially or fully unusable.

I have spent the last decade learning how to apply the data and how to model data to reflect reality.

Overview

14
14
years of professional experience

Work History

Manager Data Science

Consensus Cloud Solutions
07.2009 - 09.2023
  • Worked closely with management teams to plan, develop and execute technical strategies aligned to client's vision.
  • Identified computer hardware and network system issues, performing troubleshooting techniques for remediation.
  • Oversaw development and implementation of improvements to support and network operations.
  • Played key role in on-going network design, reevaluation and optimization to keep pace with company growth.

Education

Bachelor of Science - English And Physics

Cal State Los Angeles, Los Angeles
07.1999

I have learned Data Science independently and through real-world job experiences.


I am an expert in Customer Lifetime Value modeling. I apply numerous algorithms and discounted cash flows to create realistic and accurate LTV models.


I have experience managing four data scientists who use data to actually grow revenue, reduce expenses, and improve efficiencies in the company from lead generation, churn mitigation, automation of reports, and data mining.


The key to effective data science is understanding the business and making something happen with the data. This I believe is when data science becomes useful.

Skills

  • Customer LTV models Built from the ground up using shifted beta-geometric curves along with discounted cash flows Applied Saved company millions in expenses and increased revenues by millions
  • Forecasting customer fax and phone minute usage We achieved the forecast with 075% variance from reality/actual Prior usage forecasts were off by 11%
  • Mined 2TB of customer data to identify healthcare customers using partial, incomplete or "dirty" data This identification task took one month and resulted in accurate targeting of Healthcare HIPPA compliant products to this group/cohort
  • Automated reports in Tableau and Domo dashboard visualization tools Data is piped in from Redshift into Tableau and Domo for Executives down to low level staff
  • Worked with marketing department to analyze A/B test results Many people do not analyze or set them up correctly
  • Worked with product department to analyze adoption rates and usage pages/minutes of mobile app subscribers (iOS and Android)
  • Worked with executives to close financial books for street reporting Improved the time-to-close for financial reporting by automating data feeds into Tableau

Mathematics and Rock Climbing

I do mathematics for recreation and for business.


I use to rock climb professionally but now I only do it occassionally.



Timeline

Manager Data Science - Consensus Cloud Solutions
07.2009 - 09.2023
Cal State Los Angeles - Bachelor of Science, English And Physics

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Sinetac Brown