last year student @ ENSIAS, specializing in data engineering. Seeking an end-of-studies internship "PFE" to apply my knowledge in a professional environment.
Title of the proposed internship project: Building a Data-Warehouse and ETL Pipeline for US Demographic Database.
project objectives: The objective of this project was to create an ETL pipeline for I94 immigration, global land temperatures and US demographics datasets to form an analytics database on immigration events.
Development tools: Apache Spark, Apache Airflow, Pyspark, PostgreSQL, AWS Cloud, AWS S3 and MYSQL etc...
-> 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)