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)
Statistics and Visualization
Data visualization in Tableau
MYSQL, PostgreSQL , Teradata
Python , C, Object-oriented Design
ETL using Pandas
Time series analysis (ETL,Feature Engineering, Machine Learning)
Data Structures and Algorithms
Web Development (HTML,CSS, JS, Node,Express,EJS, SQL,MongoDB,Deployment)
Deep learning using CNN and RNN
Natural Language Processing (NLTK & SCIKIT-LEARN)
Parallel Computing on Petascale HPC clusters
Cloud computing on AWS and GCP
Computer vision using OpenCV and Scikit-image
Basic Linux and Shell Scripting
Big Data Technology (Hadoop and Spark)
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