Summary
Overview
Work History
Education
Skills
Software
Certification
Publications
Timeline
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Ammar Abdilghanie

Technical Advisor-Data Science
2609 Barrington Dr E,  Aurora, IL 60503

Summary

A computational data scientist leader with significant expertise in applying state of the art predictive modeling and machine learning techniques to build portfolio of digital product innovations and drive business value

Overview

8
8
years of professional experience
5
5
Certifications

Work History

<p>Technical Advisor - Data Science</p> <p></p>

Baker Hughes 
01.2021
  • Advising all technology teams with enterprise research (data analytics, energy transition and control systems) on various projects and initiatives
  • Interfacing with PL's and scoping new digital product innovations
  • Initiating external collaboration with national laboratories, industrial and academic partners
  • Writing external funding proposals for DOE, ARPA-E and other government agencies.
  • Developing long-term vision for digital product development along with proof of concept/prototypes and MVP's
  • Mentoring and coaching junior data scientists and early career development (ASPIRE) analytics engineers

<p>Senior Staff Data Scientist</p> <p></p>

Baker Hughes 
11.2016 - 12.2020
  • Led the development of methane detection and quantification IOT sensor solution for near and far-field applications. The analytics platform comprises ETL pipeline for real-time data streamed to AWS and the application of Hybrid physics and data-driven models for quantification and localization of leak sources.
  • Led the development of state of the art Predictive maintenance of electric submersible pumps (ESP) based on applying machine learning techniques to multiple ESP run-to-failure timeseries data. 
  • Successfully led a team of analytics engineers through new product introduction (NPI) for predictive emission modeling software solution for Fr5 and Fr6 HD Gas turbines. Software is being currently installed in a power generation site in UAE.

<p>Senior Technical Professional </p> <p></p>

Halliburton Energy Services
02.2014 - 07.2015
  • Computational simulation for asset integrity evaluation and new product development. 
  • Exploratory Data-driven analysis of failure modes of the VersaFlex liner hanger installation through surface measurements.
  • Consulting for various modeling projects to support field operations across the world.

<p>Post doctoral scientist</p> <p></p>

Argonne National Laboratory and University of Washington
01.2011 - 01.2014
  • Developed new parallel computational methodology for reacting flow simulation on HPC clusters on Peta-scale machines (Mira).
  • Data mining of massive datasets ran on O(100K) CPUs on the Mira cluster. Developed explosive mode analysis to shed some light on the competition of chemistry and turbulence in setting the hazardous autoignition conditions in modern gas turbine engines.

Education

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Cornell University

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University of Michigan Ann Arbor

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University of Cairo, Mechanical Power Engineering, BSc , MSc
08.2004 -

Skills

Machine Learning (Regression, Classification, ANNs)

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Software

Certification

Basic Statistics (University of Amsterdam) https://www.coursera.org/account/accomplishments/verify/L45GC277HDH6

Publications

Timeline

Technical Advisor - Data Science

Baker Hughes 
01.2021

Data Structures and Algorithms Nanodegree (Udacity) https://graduation.udacity.com/confirm/5RAVTSAP

01-2019

Machine Learning                         https://www.coursera.org/account/accomplishments/verify/38NZLKCZVCS2

01-2018

Basic Statistics (University of Amsterdam) https://www.coursera.org/account/accomplishments/verify/L45GC277HDH6

01-2017

Managing Big Data with MySQL (Duke University)  https://www.coursera.org/account/accomplishments/verify/MGD88XZAZTYD

01-2017

Neural Networks and Deep Learning   https://www.coursera.org/account/accomplishments/records/L7J39A4BFZEK

01-2017

Senior Staff Data Scientist

Baker Hughes 
11.2016 - 12.2020

Senior Technical Professional 

Halliburton Energy Services
02.2014 - 07.2015

Post doctoral scientist

Argonne National Laboratory and University of Washington
01.2011 - 01.2014

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University of Cairo, Mechanical Power Engineering, BSc , MSc
08.2004 -

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Cornell University

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University of Michigan Ann Arbor
Ammar AbdilghanieTechnical Advisor-Data Science