Shachar Elisha

347-***-**** adbui7@r.postjobfree.com

PROFESSIONAL PROFILE

Innovative and passionate professional with a background in both Computer Science and Mathematics. Outstanding technological orientation and analytical capabilities; Enjoy formulating and solving problems related to AI, at both algorithmic and hardware system level; Advanced knowledge about machine learning, deep learning, and NLP; Excellent teamwork and communication skills. Authorized to work in the United States.

SUMMARY OF QUALIFICATIONS

• Coding languages: C/C++, SQL, HTML, CSS,

JQuery, Java, JavaScript, ASP.NET, Python, Swift,

Magma, Sage.

• Frameworks/Libraries: TensorFlow, PyTorch,

Keras, Pandas, Sklearn, Nltk, OpenCV, Scipy,

Numpy.

• Machine Learning Algorithms: SVM, Regression

models.

• Trilingual: English, Hebrew and Basic Spanish.

• Deep Learning architectures: CNN, RNN+LSTM,

CNN+LSTM, VGG, YOLO, Inception V3.

• Operating Systems: Windows, Mac OSX, Linux.

• Other: Adobe Photoshop, System Analysis and

Design, Machine Learning.

• Certification: Network Administrator - Israel

Defense Forces (IDF).

EDUCATION

Master of Science in Mathematics, December, 2019

Texas A&M University – Commerce, Commerce, Texas

Bachelor of Science in Computer Science and Mathematics, December, 2017 Texas A&M University – Commerce, Texas.

MACHINE LEARNING PROJECTS

Three-tier artificial neural network image description generation with object detection for hazard notification, August, 2018 - Present

Texas A&M University-Commerce, Commerce, Texas

• Developed a Convolutional Neural Network and a Recurrent Neural Network architecture in order to classify and generate image description.

• Ran experiments in order to determine how certain key parameters affect the model performance and categorical performance in neural network.

• Experimental results were obtained using the image database Flickr30k. Image Captioning, May, 2018 – August, 2018

Texas A&M University-Commerce, Commerce, Texas

• Preprocessed Flick8K dataset images - reshaped to 224 x 224 x 3 and extracted features using VGG 16 model (CNN)

• Preprocessed text descriptions by creating the encoded inputs from the embedded word2vec.

• Merged VGG based (CNN) model and RNN (LSTM) model and generated descriptions for the images. WORK EXPERIENCE

Graduate Assistant, Department of Mathematics, January, 2018 – December, 2019 Texas A&M University-Commerce, Commerce, Texas

• Mentored students to excel in math and all subjects from College Algebra to Calculus III.

• Administered and proctored math quizzes and exams for multiple professors in College Algebra, Pre- Calculus, Calculus I, II and III, Discrete Math and Linear Algebra.

• Corrected and graded homework, quizzes and exams – providing constructive criticism.

• Functioned as Supplemental Instructor: Pre-Calculus, Calculus I, II and III, Linear Algebra and College Algebra.

Operations Supervisor, April, 2016 – December, 2017 Department of Campus Recreation, Texas A&M University-Commerce, Texas

• Supervised the entire operations staff, ensuring facility efficiency.

• Assisted in training staff team in emergency response, CPR, and First Aid procedures.

• Trained new employees such as supervisors, member services, and operations.

• Awarded Supervisor of the Year, 2017.

Technology Unit, Sergeant, November, 2011 – August, 2013 Israel Defense Forces (IDF), Ramat - Gan, Israel

• Served in the technology field in the Israel Defense Forces.

• Operated as Network administrator solving technological problems for the IDF.

• Worked on operational environments with an emphasis on advanced systems.

• Responsible for system uptime for immediate utilization by other units.

• Oversaw care for computer components, software support and management systems.

• Developed issue analysis reports.

ACADEMIC HONORS/AWARDS

2018 - 2019 Rachel Lafferty Math Scholarship

2017 Marj Bell Women Athletes Scholarship

2016 President’s list

2016 - 2017 Dean’s list

2015 - 2017 Phi Theta Kappa Member

2013 - 2017 Athletic Scholarship (Soccer)

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