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Abdelmoughit AIT YOUB

Data engineer

Data engineer | Big Data engineer | DevOps engineer | Cloud engineer |Software engineer
Python | Java | Scala | Shell scripting | Flask | SpringBoot
AI | ML | Deep learning | Reinforcement learning
Docker | K8's | Git | GitHub | DockerHub | GitLab | Ansible
Hadoop | Apache Spark | Apache kafka | Apache superset | Tableau | Talend
Professional Status
Intern
Available
About Me
last year student @ ENSIAS, specializing in data engineering. Seeking an end-of-studies internship "PFE" to apply my knowledge in a professional environment.
Resume created on DoYouBuzz
  • -> Maching Learning and Data Visualization project, Fake news detection using NLP technics
    Dec 2022 – Jan 2023
    •Technologies: Google colaboratory, Python(pandas, numpy, matplotlib, seaborn, plotly, Tableau, sklearn, NLP, Flask ...)
  • -> Deep learning,
    Distracted driver detection using computer vision
    May 2023 – May 2023
    •Technologies: Python, matplotlib, pandas, numpy, tensorflow, keras, Flask ...
  • -> Distributed architectures,
    Distributed system for smart agriculture and information processing
    Apr 2023 – May 2023
    •Technologies: Apache Kafka, Spring boot, SoapUI, jax-ws, RMI, Java sockets.
  • -> DevOps Methodology,
    Containerization of a Springboot Microservice
    Dec 2022 – Jan 2023
    •Technologies: VSCode, Docker, gitlab(for CI/CD pipeline) and DockerHub.
  • -> Virtualisation et cloud,
    Nov 2022 – Dec 2022
    •Creation of a cluster of three Proxmox VE nodes and implementation of High availability (HA)
  • -> EmSmart, HealthCare Emergency Application,
    Dec 2022 – Jan 2023
    •Creation of a 3-tiers architecture model using Amazon Web Services(VPC, EC2, S3, SNS ...) .
  • -> Personal Project,
    Realisation of a desktop Application: (Audio Manipulator, PDF Reader)
    2021 – 2022
    •Technologies: Python(tkinter, pyttsx3, speech_recogintion, matplotlib ... )
  • -> Social Network Analysis,
    Link prediction using dimensionnality reduction based method
    Sep 2023 – Oct 2023
    •Technologies: Python, networkx, pyvis, matplotlib, Locally Linear Embeeding, sklearn(PCA)