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Sara EL-ATEIF
Remote - Machine Learning Engineer/Task Manager
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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

Trình độ chuyên môn

  • Tình trạng hiện tại
  • Nghề nghiệp
    Data Engineer
  • Lĩnh vực
  • Kinh nghiệm làm việc
    1-2 năm (Dưới 1 năm liên quan)
  • Kinh nghiệm quản lý
  • Kỹ năng
    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
  • Ngôn ngữ
    Arabic
    Bản địa hoặc song ngữ
    French
    Thông thạo
    English
    Thông thạo
  • Trình độ học vấn cao nhất

Ưu tiên tìm kiếm việc làm

  • Hình thức làm việc mong muốn
    Full-time
    Quan tâm đến làm việc từ xa
  • Vị trí làm việc mong muốn
    Machine Learning Engineer
  • Địa điểm làm việc mong muốn
    Toronto, ON, Canada
    London, UK
    Auckland, New Zealand
  • Freelance

Kinh nghiệm làm việc

Remote - Machine Learning Engineer/Task Manager

07/2019 - 08/2019
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

02/2019 - 06/2019
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

07/2018 - 09/2018
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

08/2017 - 09/2017
2 mos
Developed RFC security reinforcement measures adapted to the scenarios specific to Lydec's information system architecture.

Học vấn

Non-Degree Program (e.g. Coursera certificate)
Deep Learning Nanodegree
2019 - 2020
Mô tả
- 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)
Non-Degree Program (e.g. Coursera certificate)
Computer Science and Emerging Technologies
2014 - 2019
15/20 GPA
Các hoạt động xã hội
- President and co-founder of itWave IT club - A class representative for 5 consecutive years
Mô tả
- 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
Non-Degree Program (e.g. Coursera certificate)
Data Foundation Nanodegree
2018 - 2018
Mô tả
- 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