Or Ram

I am proficient in all Microsoft Office suite and have used it as my main working framework for both my work and studies for the past ten years. Moreover, I have taught Microsoft Office to staff and fellows as part of my position in Tevel, an NGO.

I am proficient in both English and Hebrew and have written both professional reports and grants for an NGO. I also have experience writing in academia as part of my B.Sc and M.Sc studies.

I am proficient in both English and Hebrew and have written both professional reports and grants for an NGO. I also have experience writing in academia as part of my B.Sc and M.Sc studies.

I have worked as a project manager of a large NGO, as part of this position I was in charge of writing reports and grant requests for donors.

I am proficient in both English and Hebrew and have written both professional reports and grants for an NGO. I also have experience writing in academia as part of my B.Sc and M.Sc studies.

Working as a research assistant at the Hebrew University Physics department, I have conducted data analysis and numerical computations using MATLAB.

Have coded and constructed several Arduino projects, including a five-meter high artistic installation combining led and sound for the Israeli Midburn and a fully automatic greenhouse that controls water, ph levels, nutrients and temperature for home growers.

As part of my job as a research assistant, I have coded in Python both the working environment (with box2d and open.ai gym) and the computational framework using PyTorch library. The project incorporates both Deep Neural Networks for learning of more than 200 different tasks and an RL framework to create optimal learning.
I have also coded a solution for Omniglot one-shot learning challenge with a 95.6 accuracy, using a Neural Network framework.

As part of my job as a research assistant, I have coded in Python both the working environment (with box2d and open.ai gym) and the computational framework using PyTorch library. The project incorporates both Deep Neural Networks for learning of more than 200 different tasks and an RL framework to create optimal learning.
I have also coded a solution for Omniglot one-shot learning challenge with a 95.6 accuracy, using a Neural Network framework.

As part of my job as a research assistant, I have coded in Python both the working environment (with box2d and open.ai gym) and the computational framework using PyTorch library. The project incorporates both Deep Neural Networks for learning of more than 200 different tasks and an RL framework to create optimal learning.
I have also coded a solution for Omniglot one-shot learning challenge with a 95.6 accuracy, using a Neural Network framework.

I am working on Machine Learning algorithms as part of my job as a research assistant at Tel-Aviv University. Including writing code and analysis of 200 different data inputs, mapping correlations from the data, and creating predictions for future actions.

As part of my job as a research assistant, I have coded in Python both the working environment (with box2d and open.ai gym) and the computational framework using PyTorch library.