Henry Cao

Critic
DISC Type : C

Lead Data Science Analyst at Discover Financial Services

Los Angeles Metropolitan Area, United States

Overview

Henry is a Lead Data Science Analyst at Discover Financial Services, specializing in scalable machine learning pipelines using AWS, Python, and Snowflake. He has a strong background in the finance industry, with previous roles at Bank of America and J. P. Morgan. Henry holds an MS from Kings College London and a Bachelors from Northwestern University.

Outside of his professional work, Henry is passionate about applying his data science skills to his personal interests. He actively participates in data competitions, particularly those that combine his expertise in predictive modeling with his love for basketball, such as the Kaggle March Madness challenge.

He successfully applied his modeling skills to a March Madness bracket, placing it in the top 20% of a competitive Kaggle tournament.

Personality Overview

Critic

ROI Driven

Precise

They enjoy working alone and do not rely on others very often.  They prefer to do logical analysis and value evidence over emotions. It is very likely that they will negotiate pricing or other important terms.

Topics They Care About

Sports Analytics
Demonstrates a passion for applying machine learning and predictive modeling to his interest in basketball, participating in the Kaggle March Madness competition.
Cloud Data Pipelines
Designs and deploys scalable ML pipelines using AWS, Docker, and Kubernetes, and holds an AWS Certified Cloud Practitioner certification.
Predictive Modeling
Has extensive experience building and deploying predictive models (XGBoost, Neural Networks) for fraud detection, risk assessment, and customer personalization in the financial sector.

Media Appearances

Henry has no verified media appearances

Work History

5-2025
Lead Data Science Analyst at Discover Financial Services
8-2020 - 8-2022
Data Scientist I at Bank of America
1-2018 - 1-2019
Data Science Analyst at J.P. Morgan

Education

9-2023 - 12-2024
Master of Science - MS from King's College London
2014 - 2017
Bachelor’s Degree from Northwestern University

More Information

Social Presence :

Prographics :

Exp : 3 Location : Los Angeles Metropolitan Area, United States Job Level : Junior Designation : Lead Data Science Analyst at Discover Financial Services
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Insights For Selling To Henry

During A Call Or A Meeting

DO's

  • Keep some extra margin while sharing pricing, they are likely to negotiate later
  • Leverage facts and figures wherever possible; use percentages, numbers etc.
  • Use phrases like ‘expect X% improvement’, ‘data clearly shows’ etc.

DONT's

  • Don’t try too hard to build a relationship with them
  • Make extra effort to not seem pushy or confrontational
  • Don’t try to give too many examples of other users, they like to make their own decisions

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Henry is

  • Strong evidence of ROI, effective pricing, and proven data points matter the most to them.
  • Will you ever get a clear answer from Henry

  • It is not very hard for them to say no if they are not convinced about the decision.

Insights For Deal Planning

    How fast (or slow) will Henry move?

  • Their decision-making is neither very fast nor very slow, they are somewhere in between.
  • Can Henry take some risk or not?

  • They can take risks if their analysis shows that it would be worth it.

You And Henry

Personality Compatibility


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