Rachel F.

Critic
DISC Type : C

Sr. Staff, Finance & Analytics at Tesla

San Francisco Bay Area, United States

Overview

Rachel is a Sr. Staff of Finance & Analytics at Tesla with a Masters in Accountancy and a CPA certification. She blends business intelligence with technical skills, having progressed through several analyst roles at Tesla after starting her career at KPMG where she automated processes with VBA.

Fascinated by the power of data, Rachel dedicates her personal time to ambitious coding projects. She has built predictive models for individual taxes, visualized complex US flight data, and shared these projects publicly, showcasing a deep passion for applying technology to solve real-world problems.

Unique fact: Rachel has trained a self-driving smart cab, demonstrating advanced skills in machine learning and reinforcement learning.

Personality Overview

Objective Thinker

Negotiator

ROI Driven

They don’t appreciate bells and whistles unless backed by data.  They choose to analyze logically and value facts to emotions. They like to do things independently and don’t look for support from others.

Topics They Care About

Financial Analytics
Her entire career at Tesla and KPMG has focused on combining data analysis and business intelligence to solve complex financial challenges and deliver consulting projects.
Machine Learning
She earned a Nanodegree from Udacity and has applied these skills to personal projects, including training a self-driving smart cab.
Data Visualization
She developed a project to visualize US flight delay information using Python libraries like Matplotlib and Seaborn, which is available on her GitHub.

Media Appearances

Rachel has no verified media appearances

Work History

8-2023
Sr. Staff, Finance & Analytics at Tesla
3-2020 - 8-2023
Staff Analyst, Finance & Analytics at Tesla
5-2018 - 3-2020
Sr. Analyst, Finance & Analytics at Tesla
10-2015 - 5-2018
Tax Analyst at KPMG US
6-2014 - 5-2015
Business Analyst Intern at Hoodle

Education

2014 - 2015
Master of Accountancy Science from University of Illinois Urbana-Champaign
2017 - 2018
Nanodegree from Udacity

More Information

Social Presence :

Prographics :

Exp : 11 Location : San Francisco Bay Area, United States Job Level : N/A Designation : Sr. Staff, Finance & Analytics at Tesla
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Insights For Selling To Rachel

During A Call Or A Meeting

DO's

  • Keep some extra margin while sharing pricing, they are likely to negotiate later
  • Don’t forget to mention how you compare to competition on both features and pricing
  • Be ready for penetrating questions and critical examination of your pitch

DONT's

  • Don’t try too hard to build a relationship with them
  • Don’t try to give too many examples of other users, they like to make their own decisions
  • Don’t rush them till they have clearly gotten all the necessary information

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Rachel is

  • Proven ROI, pricing and objective proof points are the factors that sway their decision.
  • Will you ever get a clear answer from Rachel

  • They are comfortable saying no if they are convinced that it is the correct decision.

Insights For Deal Planning

    How fast (or slow) will Rachel move?

  • They are neither the fastest nor the slowest decision makers, they are somewhere in the middle.
  • Can Rachel take some risk or not?

  • They can bear some risk if their analysis backs the decision.

You And Rachel

Personality Compatibility


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