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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

職場能力評價

專業背景

  • 目前狀態
  • 專業
    數據工程師
  • 產業
  • 工作年資
    1 到 2 年 (小於 1 年相關工作經驗)
  • 管理經歷
  • 技能
    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
  • 語言能力
    Arabic
    母語或雙語
    French
    進階
    English
    進階
  • 最高學歷

求職偏好

  • 預期工作模式
    全職
    對遠端工作有興趣
  • 希望獲得的職位
    Machine Learning Engineer
  • 期望的工作地點
    Toronto, ON, Canada
    London, UK
    Auckland, New Zealand
  • 接案服務

工作經驗

Remote - Machine Learning Engineer/Task Manager

2019年7月 - 2019年8月
2 個月
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

2019年2月 - 2019年6月
5 個月
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

2018年7月 - 2018年9月
3 個月
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

2017年8月 - 2017年9月
2 個月
Developed RFC security reinforcement measures adapted to the scenarios specific to Lydec's information system architecture.

學歷

Non-Degree Program (e.g. Coursera certificate)
Deep Learning Nanodegree
2019 - 2020
簡介
- 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
社團活動
- President and co-founder of itWave IT club - A class representative for 5 consecutive years
簡介
- 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
簡介
- 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