Avatar of Sara EL-ATEIF.

Sara EL-ATEIF

Remote - Machine Learning Engineer/Task Manager
An entry-level deep learning engineer who takes pride in building models that translate data points into business insights and help overcome business and social challenges. I am eager to apply the same knowledge to real-world social, medical and business problems.
Omdena
Udacity
El Jadida, Morocco

Skills

Machine Learning
Flask Framework
Computer Vision
Python
Deep learning with TensorFlow
Deep Learning with PyTorch
AWS
NLP Machine Learning
sklearn
skimage
OpenCV
Tableau Desktop
hadoop ecosystem
Spark
Data Science

Languages

Arabic
Native or Bilingual
French
Fluent
English
Fluent

Work experiences

Remote - Machine Learning Engineer/Task Manager

Omdena

Jul 2019 ~ Aug 2019
2 mos
Managed the treatment scope task to design a doable solution and trained the BERT model to classify Posttraumatic Stress Disorder patients into affected or not.

Data Scientist/Computer Vision Engineer

BEREXIA Morocco, Casablanca

Feb 2019 ~ Jun 2019
5 mos
Built and optimized an API that extracts, recognizes, checks and reports stored typing errors from Moroccan CINE. I reached an extraction and recognition rate of 90% to 100% from images with average quality and defined a standard to improve the rest. - Image processing and edge detection: OpenCV, scikits-image, HED algorithm - OCR: pytesseract - App deployment: Flask framework

Deep Learning Research Intern

LTI ENSAJ Laboratory

Jul 2018 ~ Sep 2018
3 mos
Trained the SSD model for real-time road damage detection and classification in participation to the IEEE Big Data 2018 Cup Challenge, using Keras and TensorFlow 1.0

Network Security Engineer Intern

Lydec

Aug 2017 ~ Sep 2017
2 mos
Developed RFC security reinforcement measures adapted to the scenarios specific to Lydec's information system architecture.

Educations

Udacity

Non-Degree Program (e.g. Coursera certificate)
Deep Learning Nanodegree

2019 - 2020
Description
- Neural Networks => Project: Predicting Bike-Sharing Patterns, - Convolutional Neural Networks => Project: Dog Breed Classifier, - Recurrent Neural Networks => Project: Generate TV Scripts, - Generative Adversarial Networks => Project: Generate Faces, - Model Deployment => Project: Model Deployment (AWS SageMaker)

National School of Applied Sciences

Non-Degree Program (e.g. Coursera certificate)
Computer Science and Emerging Technologies

2014 - 2019
15/20 GPA
Activities and societies
- President and co-founder of itWave IT club - A class representative for 5 consecutive years
Description
- Ranked 1st place in my class by developing an event management mobile multi-platform app - Studied Full stack, Mobile and Multiplatform Development, Network Engineering, Big Data & Data Science concepts and scored high in each 4-month project in these subjects

Udacity

Non-Degree Program (e.g. Coursera certificate)
Data Foundation Nanodegree

2018 - 2018
Description
- Introduction to Data => Project: I interpreted Malaria data using Data Visualizations, - Descriptive Statistics => Project: I analyzed Udacity Survey Data, - SQL for Data Analysis => Project: I analyzed the Chinook Database, - Data Visualization => Project: I built Data Dashboards using Tableau on the 2015 Flight Delays and Cancellations data from Kaggle
Powered By CakeResume