Summary
Overview
Work History
Education
Skills
Websites
Certification
References
Timeline
Generic
Abdalla Abdelrahman

Abdalla Abdelrahman

Nepean,Canada

Summary

Data Scientist with 3+ years of industrial and academic experience in the tele-communication, health, and intelligent transportation industries. Experienced in building data-dependent applications, extracting hidden insights from high-dimensional and large-scale data, and creating efficient predictive models on static and time-series data. Experienced in data cleaning, feature selection and extraction, and data visualization for use by technical and non-technical personnel. Have an advanced understanding of conventional statistical and machine learning techniques. Highly organized, motivated and diligent.

Overview

4
4
years of professional experience
1
1
Certification

Work History

Programming for Data Science Tutor (part Time)

Udacity
10.2022 - Current
  • Provided technical support for students on the community platform, responding promptly to inquiries and delivering effective solutions that helped learners progress through their coursework with ease.
  • Expertly facilitated content for students who encountered roadblocks in their learning journey, drawing on deep knowledge and extensive experience to guide them through challenging concepts and tasks.
  • Collaborated closely with Udacity representatives in regular meetings, providing valuable insights and recommendations that drove continuous improvement of the student experience and the learning platform.
  • Delivered personalized 1:1 support to students via the Community platform, providing tailored advice and mentorship that helped learners stay on track and achieve their goals.

Data Scientist

Cheetah Networks
03.2020 - Current
  • Developed a novel anomaly detection framework using a combination of unsupervised and supervised learning techniques to detect, classify, and report anomalies in LTE-M and NB-IoT networks using large-scale datasets. Achieved 92% average precision and 94% average recall, resulting in more accurate anomaly detection and improved network performance.
  • Led a team in developing an end-to-end analytics framework, from edge to database to UI, to notify customers about the quality of their networks in real-time. Enhanced customer experience and satisfaction by providing immediate feedback and proactive solutions.
  • Developed novel algorithms to assess quality of experience (QoE) for different IoT services over different communication layers. Improved overall QoE by identifying and addressing issues specific to each service and communication layer.
  • Implemented an automated band scan feature on Quectel 5G modem to sense 5G and LTE bands available within a cell and report RF information for each band. Improved network performance and reliability by ensuring optimal band selection for each device.

Postdoctoral Research Fellow

Queen's University
11.2019 - 08.2020
  • Developed complex statistical learning supervised models to predict risk of fall among older Ontario adults. To achieve this, administrative health services records that contains data of thousands of patients in Ontario was used. Developed models outperformed state-of-the-art models by 23% in number of needed features for same AUC.
  • Applied survival analysis techniques (e.g., Cox regression) to investigate effect of different variables on time it takes for elderly adults to develop Alzheimer disease.
  • Contributed to and actively participated in research conception, design and execution.

PhD Research Assistant

Queen's University
09.2014 - 10.2019
  • Developed supervised machine learning techniques to examine effect of different driving behaviors on risk rate by utilizing contextual information of large-scale naturalistic driving dataset (i.e., SHRP2, which is largest of its kind to date).
  • Developed semantic analysis HMM-based approach to infer fault contribution of drivers during risky events. Time-series CAN-bus vehicular data were used for that purpose.
  • Proposed and implemented safety-based route-planning algorithm. Algorithm picks routes minimize driving risk for drivers based on their personal driving risk profiles.

Education

Ph.D. - Electrical And Computer Engineering

Queen's University
Kingston, ON
10.2019

Master of Science - Statistical Signal Processing

King Fahd University of Petroleum And Minerals
Dhahran, Saudi Arabia
11.2013

Bachelor of Science - Control Engineering

King Fahd University of Petroleum And Minerals
Dhahran, Saudi Arabia
08.2010

Skills

General skills:

  • Machine learning, Deep learning, and time series forecasting
  • Natural Language Processing, Generative, transformers
  • Unsupervised learning, Pattern recognition and anomaly detection
  • Data visualization (eg, matplotlib, plotly, Tableau)
  • Statistical analysis (eg, A/B testing)
  • Cox regression and survival analysis
  • LTE-M, NB-IoT, O-RAN

Programming languages, libraries, and tools:

  • Python, SQL, SAS, Matlab, C, OpenCV
  • Pandas, numpy, Scikit learn, keras, tensorflow, Spark

Other software/tools:

  • Git
  • JIRA
  • Amazon web services
  • Docker
  • MLflow

Certification

  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Coursera
  • Neural Networks and Deep Learning, Coursera
  • Structuring Machine Learning Projects, Coursera

References

Available upon request

Timeline

Programming for Data Science Tutor (part Time)

Udacity
10.2022 - Current

Data Scientist

Cheetah Networks
03.2020 - Current

Postdoctoral Research Fellow

Queen's University
11.2019 - 08.2020

PhD Research Assistant

Queen's University
09.2014 - 10.2019

Ph.D. - Electrical And Computer Engineering

Queen's University

Master of Science - Statistical Signal Processing

King Fahd University of Petroleum And Minerals

Bachelor of Science - Control Engineering

King Fahd University of Petroleum And Minerals

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Abdalla Abdelrahman