Aziza Mirsaidova

Critic
DISC Type : C

Applied Scientist II at Oracle

Seattle, Washington, United States

Overview

Aziza Mirsaidova is an AI Applied Scientist at Oracle, focusing on Generative AI, Large Language Model (LLM) evaluation, and agent development. Her experience spans roles at Microsoft in Responsible AI and content moderation. She holds a Master of Science in AI from Northwestern University.

She is passionate about bridging the gap between industry and academia, frequently speaking at tech conferences to share her knowledge. Aziza maintains strong ties to the academic community, highlighting research on topics like data privacy and the societal impact of algorithms.

Aziza is a featured speaker at multiple PyData conferences, where she leads tutorials on Responsible AI and LLM Evaluation.

Personality Overview

Precise

ROI Driven

Information Seeker

They prefer to do logical analysis and value evidence over emotions.  They enjoy working alone and do not rely on others very often. They don’t appreciate bells and whistles unless backed by data.

Topics They Care About

Responsible AI
A core focus of her work, having built moderation pipelines for harmful content at Microsoft and led tutorials on the topic at PyData NYC.
LLM Evaluation
Central to her current role at Oracle and the subject of her talks at events like PyData Seattle, demonstrating deep expertise in assessing language models.
Generative AI
Her work at Oracle involves GenAI, specifically in code generation and the development of AI agents, indicating a primary professional focus.

Media Appearances

Aziza has no verified media appearances

Work History

7-2024
Applied Scientist II at Oracle
6-2023 - 7-2024
Data Scientist at Microsoft
11-2021 - 12-2023
Machine Learning Research Associate at tiilt Lab
9-2022 - 1-2023
Machine Learning Engineer Co-op at Adobe
10-2022 - 12-2022
Data Science Consultant at Northwestern University - Kellogg School of Management

Education

9-2021 - 2023
Master of Science - MS from Northwestern University
2017 - 2021
Bachelor of Business Administration - BBA from Middle Tennessee State University (MTSU)

More Information

Social Presence :

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Exp : 3 Location : Seattle, Washington, United States Job Level : N/A Designation : Applied Scientist II at Oracle
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Insights For Selling To Aziza

During A Call Or A Meeting

DO's

  • Be ready to answer many clarity-seeking questions and requests for information
  • Leverage facts and figures wherever possible; use percentages, numbers etc.
  • Keep some extra margin while sharing pricing, they are likely to negotiate later

DONT's

  • Don't give superficial answers, they are easily rattled by them
  • Make extra effort to not seem pushy or confrontational
  • Avoid phrases like ‘trust me’, ‘others just love’ etc.

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Aziza is

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

  • 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 Aziza move?

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

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

You And Aziza

Personality Compatibility


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