Saima Absar

Questioner
DISC Type : c

Data Scientist at Chevron Phillips Chemical Company

Sunnyvale, California, United States

Overview

Saima Absar is a Data Scientist at Chevron Phillips Chemical Company with a Ph. D. in Computer Engineering from the University of Arkansas. She specializes in causal inference, deep learning, and time-series modeling, with experience building real-time MLOps systems using Databricks and MLflow for industrial applications.

She has published peer-reviewed papers on causal discovery and developed "Neural-HATS, " an innovative framework combining conditional independence testing and deep learning to uncover causal structures in time series data.

Personality Overview

Value Seeker

Cautious & Analytical

Systematic

It is quite likely of them to ask for pricing or other concessions.  While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters. They prefer to fully evaluate every situation.

Topics They Care About

Causal Inference
Her PhD research and multiple publications focus on causal discovery in time-series data, which she applies to industrial root cause analysis.
Industrial MLOps
She built a real-time MLOps prediction pipeline at Chevron Phillips to identify hazardous materials using tools like Seeq, Databricks, and MLflow.
Deep Learning Models
She designs neural architectures and has developed deep learning frameworks for anomaly detection in industrial settings like polyethylene furnaces.

Media Appearances

Saima has no verified media appearances

Work History

1-2025
Data Scientist at Chevron Phillips Chemical Company
5-2024 - 8-2024
Data Science Intern at Chevron Phillips Chemical Company
5-2020 - 12-2024
Research Assistant at University of Arkansas
8-2019 - 12-2024
Graduate Research Assistant at University of Arkansas
12-2017 - 12-2018
Lecturer at Bangladesh University

Education

2019 - 12-2024
Doctor of Philosophy - PhD from University of Arkansas
8-2021 - 8-2023
Master of Science - MS from University of Arkansas

More Information

Social Presence :

Prographics :

Exp : 7 Location : Sunnyvale, California, United States Job Level : N/A Designation : Data Scientist at Chevron Phillips Chemical Company
URL has been copied!

Insights For Selling To Saima

During A Call Or A Meeting

DO's

  • Back up any claims with data and numbers
  • Keep some extra margin in hand as they will likely negotiate the pricing
  • If you have a lower priced product compared to the competition, call out the same

DONT's

  • Don’t depend too much on anecdotal evidence, it reduces their confidence
  • Don’t overhype the product/pitch, keep it measured
  • Avoid rushing them, be polite and patient

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Saima is

  • Ensuring that the product delivers ROI, cost-effective pricing and process compliance are very important for them.
  • Will you ever get a clear answer from Saima

  • It doesn’t come naturally to them but they can say no if they are not convinced.

Insights For Deal Planning

    How fast (or slow) will Saima move?

  • If they have the information that they need, they can move fast at making their decisions.
  • Can Saima take some risk or not?

  • If they believe that they have analyzed the situation well, they can take a little risk.

You And Saima

Personality Compatibility


Other Chevron Phillips Chemical Company Employees

Explore more public profiles from related professionals at the same organization.

More Profiles

Discover additional public profiles from our index.

Search more profiles

Looking for someone else? Search here for anyone.

Or visit Humantic AI to know more.