Assistant Data

Mohammad Al-Saad

*** ***** ***, ******, ** *****

********.******@***.*** 706-***-****

SUMMARY OF QUALIFICATIONS

Five semesters of machine learning development experience at The University of Georgia

Proven skills in AI/ML Development and Applications

Excellent team-building and management skills with demonstrated success EDUCATION

University of Georgia, Franklin College of Arts & Sciences Athens, GA Doctor of Philosophy in Computer Science May 2022

Major GPA: 4.00/4.00

Financed 95% of college expenses through Teaching Assistantships Jordan University of Science and Technology, Faculty of Computer and Information Technology Irbid, Jordan Master of Science in Computer Science September 2017 Thesis: Using the Responsive Algorithm for Energy Efficient CoAP for IoT August 2017

Major GPA: 3.4/4.00

Financed 70% of college expenses through Teaching Assistantships Yarmouk University, Faculty of Information Technology and Computer Science Irbid, Jordan Bachelor of Science in Computer Science September 2014

Major GPA: 3.10/4.00

Financed 70% of college expenses through scholarships RELEVANT COURSEWORK

Completed: Machine Learning, Data Mining, Advanced Special Topics in ML, Privacy- Preserving Data Analytics, Advanced Representation Learning, Artificial Intelligence, Evolutionary Computation, and Software Engineering. TECHNICAL SKILLS

Programming Languages: Python, C, C++, Java, SQL

Operating Systems: Windows 10, Linux, Unix

Database: SQL Server, MS Access, Oracle

Software: Keras, Tensorflow, Pandas, Scikit-Learn, SciPy, NumPy, Matplotlib, Tableau, Jupyter, Anaconda,Weka PROJECT EXPERIENCE

Applied data mining methods such as clustering and classification to determine the technical efficiency of healthcare centers in Jordan

Developed and applied Machine learning techniques, feature engineering and algorithms on the famous breast cancer dataset to classify instances into benign and malignant

Conducted a study on Indian liver patient dataset to classify participants into liver patients or not. The dataset has been extensively preprocessed and features have been extracted. Several Machine learning and ensemble learning algorithms were used for classification

Built a Generative Adversarial Network model for unsupervised image-to-image translation task and GAN stability task. The model was tested on several datasets

Designed and implemented a Generative Adversarial Network that satisfies differential privacy to generate synthetic data. The tested datasets were Mnist and two kaggle datasets. WORK EXPERIENCE

The University of Georgia Athens, GA

Teaching Assistant January 2018 - Present

Monitored students’ progress in course projects, helped students to solve problems and provided candid feedback

Assisted in the incorporation of cooperative and collaborative learning inside classroom and within course projects

Created detailed examples and exercises to increase students understanding and retention of material

Incorporated simple and straightforward language to effectively convey complex concepts Jordan University of Science and Technology Irbid, Jordan Teaching Assistant September 2016 - September2017

Assisted in grading submitted assignments and deliverables and provided an extensive feedback to students

Tutored students in lectures and programming labs

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