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Achievement: YOLOAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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AsmaZgo/README.md

Hi there 👋

You can call me AsmaZgo! I'm a Senior Machine Learning engineer with 6 years of experience in data science and big data engineering. I'm skilled in building and deploying complex models for a variety of applications, and experienced in managing and analyzing large datasets. I'm also passionate about using data science and analytics to solve real-world problems.

-- 👯 I'm enjoying collaboration with the Apache Spark community and I’m looking to collaborate more on open source Machine Learning projects. Reach out to me if you have project ideas ;)

Highlights

• System design for an ML training architecture using online and batch learning to solve an anomaly detection problem: https://github.com/AsmaZgo/DataScienceMulti/blob/master/system_design_ML.MD

• Comparing Databases: https://github.com/AsmaZgo/DataScienceMulti/blob/master/Database_comparing.MD

• Jupyter notebook for semi-supervised learning using Label propagation: https://github.com/AsmaZgo/DataScienceMulti/blob/master/credit-risk-data-semi-supervised.ipynb

• Jupyter notebook for computer vision using Ann: https://github.com/AsmaZgo/ComputerVisionDigitsClassification

• Certifications and certificates: https://github.com/AsmaZgo/my_certifications

Blogs

• https://medium.com/@zgolliasma/tigergraph-overview-50c949272a5d

• https://medium.com/@zgolliasma/what-is-the-future-of-ai-adoption-4d74c35ab957

• will be released soon: NLP blogs about transformers

Conference papers (Selection)

  • DWS: a data placement approach for Smart Grid EcosystemsDWS: a data placement approach for Smart Grid Ecosystems IDEAS 2019 · Jun 1, 2019
  • Metadata based datasets placement in Smart grids. Short paper presented as a poster (4 pages) Metadata based datasets placement in Smart grids. MTSR 2018 (cyprus) · Oct 1, 2018
  • Metadata based datasets placement in Big Data Ecosystems. Gestion de Données – Principes, Technologies et Applications, bucharest, Romania · Oct 1, 2018

-- 📫 How to reach me:

  • LinkedIn: linkedin.com/in/asma-zgolli-225642a5
  • Twitter: @zgolli_asma
  • Meduim: medium.com/@zgolliasma

Pinned Loading

  1. distribution_and_scripts distribution_and_scripts Public

    A repository for some scripts that can help in creating a distributed Big data ecosystem using the platform Grid5000.

    Shell 3

  2. publications publications Public

    A list of my scientific publications and some selected artifacts

    3

  3. my_certifications my_certifications Public

    Certifications obtained for conferences, courses or trainings.

    2

  4. DataScienceMulti DataScienceMulti Public

    Code snippets , system design architectures or short articles describing a solution for a particular Data Science problem

    Jupyter Notebook 7 1

  5. ComputerVisionDigitsClassification ComputerVisionDigitsClassification Public

    The objective of this coding exercice is to train a simple neural network on the mnist dataset in order to classify the handwritten digits into numbers ranging from zero to 9.

    Jupyter Notebook 2