Siyi Huang

Critic
DISC Type : C

Cloud Data Enginner at Servian

Melbourne, Victoria, Australia

Overview

Siyi Huang is a Cloud Data Engineer at Servian with a passion for using data and technology to solve business challenges. Educated at Carnegie Mellon University, Siyi holds certifications as a Microsoft Certified Azure AI Engineer and a SnowPro Core professional, with expertise in solution architecture and system analysis.

Siyi was a key contributor to the underlying GCP solution architecture for the recent partnership between ANZ and Cashrewards, enabling merchant offers within the ANZ app.

Personality Overview

Precise

Information Seeker

Negotiator

They are quite likely to negotiate on pricing or other key terms.  They like to take decisions independently and do not seek others' support often. They don’t appreciate bells and whistles unless backed by data.

Topics They Care About

GCP Solution Architecture
Contributed to the design and implementation of the Google Cloud Platform solution for the high-profile partnership between ANZ and Cashrewards.
Azure AI Engineering
Recently became a Microsoft Certified: Azure AI Engineer Associate, demonstrating a focus on building and managing AI solutions on the Azure platform.
Snowflake Data Platform
Holds the SnowPro Core Certification, indicating proficiency and expertise in using the Snowflake cloud data platform for data warehousing and analytics.

Media Appearances

Siyi has no verified media appearances

Work History

7-2018
Cloud Data Enginner at Servian
1-2018 - 4-2018
Data Analyst Intern at Core Energy Group
5-2017 - 5-2018
Graduate Teaching Assistant at Carnegie Mellon University in Australia
10-2015 - 12-2015
Marketing Data Analyst at ShanDa Interactive Entertainment Ltd.
7-2015 - 9-2015
Mobile Game Developer at ShanDa Interactive Entertainment Ltd.

Education

2016 - 2018
Master's degree from Carnegie Mellon University - Heinz College of Information Systems and Public Policy
2012 - 2016
Bachelor's degree from Shanghai Maritime University

More Information

Social Presence :

Prographics :

Exp : 8 Location : Melbourne, Victoria, Australia Job Level : N/A Designation : Cloud Data Enginner at Servian
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Insights For Selling To Siyi

During A Call Or A Meeting

DO's

  • Leverage facts and figures wherever possible; use percentages, numbers etc.
  • Be formal and objective, they will appreciate it more
  • If you can, show them industry reports or analyst comments instead of sharing anecdotal stories

DONT's

  • 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
  • Avoid pushing them too much to involve other stakeholders unless it is critical

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Siyi is

  • Proof of ROI, low pricing and objective proof points are the important factors for them.
  • Will you ever get a clear answer from Siyi

  • They do not mind saying no if they believe that it is the right decision.

Insights For Deal Planning

    How fast (or slow) will Siyi move?

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

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

You And Siyi

Personality Compatibility


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