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Hello World

Data Engineer | Data Scientist | Data Analyst

    I'm Naaima, a recent graduate with a Master's degree in Big Data & Artificial Intelligence, and a Bachelor's degree in Computer Engineering. I recently completed an internship at the Center for Remote Sensing Applications at the University Mohammed VI Polytechnic of Benguerir in which I worked for 6 months as a Geospatial Big Data Engineer on the MIT Project at the CRSA.

    Academic & Internship projects

  • Development of a Distributed Storage Framework for Remote Sensing Big Data for Environmental Applications in Morocco using NoSQL Databases and the Hadoop Ecosystem. (CRSA-UM6P)
  • Deployment of Predictive Modelling of Spotify Skip Action Prediction on user acoustic data using Machine Learning classification models, Django and Herok. (Technocolabs Softwares)
  • Tifinagh Character Recognition with Convolutional Neural Network (CNN) (Deep Learning Course Project)
  • Developing a real-time GPS tracking system with Raspberry Pi 3 and GPS to track and monitor real-time movements (IoTs & Blockchain Course Project)
  • Monitoring Plant Growth with Image Processing using OpenCV and PlantCV ( Computer Vision Course Project)
  • Skills

  • Data Science: Machine Learning, Deep Learning, Natural Language Processing
  • Big Data: Hadoop, MapReduce, Hive, HBase, Apache Spark, Docker, DataViz, Grafana, Tableau, Microsoft Azure
  • Computer Vision: Image Processing, Remote Sensing
  • Business Intelligence: Pentaho, PowerBI, ETL, Data Warrehouse, Data Marts, Dashboarding
  • DBMS: SQL, PL/SQL, NoSQL: Cassandra & MongoDB
  • Programming Languages: HTML, CSS, C, Java, JEE, R, Python, Flask, PyTorch
  • Android Studio, Anaconda, Google Colab, Git&Github
streak stat card  stat card

Reach me at [email protected]

Connect with me:

NaaimaBen Naaima

Naaima BEN KADOUR's Projects

ai_dev_internship icon ai_dev_internship

This repository is for my work as an AI developer intern at Technocolabs Softwares

technocolabs-internship-mini-project-reducing-traffic-mortality icon technocolabs-internship-mini-project-reducing-traffic-mortality

we want to understand if there are patterns in this variation in order to derive suggestions for a policy action plan. In particular, instead of implementing a costly nation-wide plan we want to focus on groups of states with similar profiles. How can we find such groups in a statistically sound way and communicate the result effectively?

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