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About Me 💡

I am a second year Ph.D. candidate at Mohammed 5 University (UM5) Mohammadia school of engineer (EMI), Rabat - Morocco, under the supervision of Prof. Ghassane ANIBA. Before that, I obtained my Master degree from FSDM - USMBA. My major research interest lies in the intersection of Data Sciences and Computer Vision and NLP, as well as the Automatic Speech Recognition. See my Google scholar for more details.

I will enter the job market soon. If you are interested in my background, please contact me: meryem DOT manessouri AT gmail DOT com or meryemmanessouri AT research DOT emi DOT ac DOT ma.

Research Interests 🎯

  • In general : Deep Learning, Machine Learning, Computer Vision, Natural Language Processing.
  • Language Understanding in Social Media : Hashtag Annotation, Topic Detection.

Education 🎓

  • 2020-present, Ph.D. candidate, ERSC, Department of Electronic, Mohammadia school of engineer Rabat - Morocco. Supervisor: Prof. Ghassane ANIBA.
  • 2018-2020, Master : decisionnal computing and intelligent vision (MIDVI), Sidi Mohamed ben Abdellah University, Fez - Morocco, Department of Computer Science.
  • 2017-2018, Bachelor Degree : Mathematic and Computer Science, Sidi Mohamed ben Abdellah University, Fez - Morocco, Department of Computer Science.
  • 2014-2017, DEUG : Mathematic and Computer Science, Sidi Mohamed ben Abdellah University, Fez - Morocco, Department of Computer Science.
  • 2014, High School graduate (Baccalaureate) : Mathematic Option (B), High School AL Adarissa, Fez - Morocco.

Experience 💼

  • 03/2020-07/2020, Data Scientist Intern, in OCP Group Company. Mentor: LABKIRA Imane.

    Address : Headquarters, Boulevard Al Abtal, BP 5196 - Casablanca, Morocco.

    Objectif :

    • Monitoring system establishment of the OCP data Lake. *Handling of data lake services (Cloudera distribution of the Hadoop ecosystem). *Use of the ARIMA predictive model. *Predict the status of platform services, by leveraging historical data about their use. *Data Visualization using Tableau software. Keywords : Python(Jupyter), Big Data, Cloudera, ARIMA,TimeSeries, Tableau.

Skills ⚙
Specialization Artificielle Intelligence, Business Intelligence, Machine Learning, Deep Learning, Data Mining, Data Warehouse, Web Mining,Image Mining, Image/Video processing, Text Mining, NLP, Statistics.
Machine Learning methods Neural Networks, K-Means, KNN, SVM, Gradient Descent, Linear Regression, Naive Bayes, Hierarchical Ascending,Classification (HAC), Random Forest, Decision Tree,ARIMA/SARIMA.
Deep Learning Models CNN, RNN, LSTM.
Libraries NumPy, Pandas, Matplotlib, Scipy, Scikit-Learn, NLTK.
Programming Language Python (most frequently used), C/C++, Java, Matlab, Bash.
BI Tableau, PowerBI.
Web dev HTML, CSS, JavaScript, PHP, JEE.
Web Services REST, SOAP.
Formats JSON, XML,XSD,XSLT.
Database Oracle Database 11g, SQL, PL/SQL, MySQL.
Conception UML, MCD, MERISE, Design Patterns.
Tools Linux, Git, Latex, Deep Learning Frameworks (Pytorch > Keras > TensorFlow).
Languages Arabic (native), French (Professional), English (Professional), Japanese (Beginner).

Academic Project 📝

  • Automatic Micro-Expression Recognition (AMER) 🔗 (01/2020–02/2020)

    This project was about providing an Android application that can help people take charge of their own emotional health by capturing their micro expressions such as happiness, sadness, anger, disgust, surprise, fear, and neutral. This application consumes a web service which contains our finally Model. This Model predictor is created after testing different approaches for the facial expression recognition. the elaborated approaches are based on different algorithm for features extraction and different machine learning classifiers. The proposed automatic micro expression recognition (AMER) uses: OpenCV, Python and machine learning Algorithms.

    Tools : Flask, Python, Image Mining and Android.

  • Machine Learning & Image Mining 🔗 (09/2019–02/2020)

    • Cancer detectionfrom analysis of skin lesions (ISIC 2017).
    • ASL alphabet detectionand numbers from human gestures.

    Tools : Python(Jupyter), Google Colab, CBIR, KNN, SVM.

    GitHub link : 🔗

  • Web Mining 🔗 (10/2019–12/2019)

    Mining social media network for discovering Moroccan people topics.

    Tools : Python(Jupyter), Twitter API, Scrapy, NLTK, word2vec, TF-IDF, LDA.

  • Text Mining 🔗 (10/2019–12/2019)

    • Classification des textes.
    • Moteur de recherche.
    • Réduction des dimension par méthode de Chi2

    Tools : Python, TF-IDF, NLTK, SVM, naive-bayes, hiérarchique clustering.

  • Internet of Things : Security Robot 🔗 (11/2018-05/2019)

    Android and Arduino application : Build a guard robot to secure the home against theft and gas leaks.

    Tools : Web socket, USB communication, FireBaseAPI, Volley API.

  • Business Intelligence 🔗 (10/2019–10/2019)

    Proposal of an IT/BI solution for a commercial data analysis system "OrderItem".

    Tools : Talend, Pentaho, Power BI.

  • Visual Analytic 🔗 (02/2019-05/2019)

    • Foreground / Background Segmentation (Image-Based) Using: Image Difference, Time Derivation, Moving Average, Running Average, and Median Filter
    • Foreground / background segmentation (Pixel-Based) using: MOG, MOG2 and GMG.
    • Motion recognition of cars using optical flow from a video
    • Follow the hand using SIFT Points of Interest.

    Tools : Python(Spyder), Open-CV.

  • Chat-app 🔗 (02/2019-02/2019)

    Desktop application for messaging and sharing file created with Java RMI Technology and Multithreading. GUI Java SWING (Chat Application) for university purpose in order to experiment RMI Technologies, and peer-to-peer communication.

    Tools : JAVA / RMI / SWING.

  • Graduation Project (BachelorDegree) : Desktop application 🔗 (02/2018-06/2018)

    Desktop application : Design and development of a desktop application for managing invoices and complaints for RADEEF.

    Tools : JAVA / SWING – AWT.

Certificates 🏆

  • Natural Language Processing in TensorFlow (deeplearning.ai - coursera).

    In this course, I have discovered how i can use NLP with TensorFlow , rather than the rest of the explnations that give a quick explanation or surface-level description of concepts.

    Now I am able to :

    • Build natural language processing systems using TensorFlow
    • Process text, including tokenization and representing sentences as vectors.
    • Apply RNNs, GRUs, and LSTMs in TensorFlow.
    • Train LSTMs on existing text to create original poetry and more.
    • Apply NLP in TensorFLow to a my own applications.

    SKILLS : Natural Language Processing, Machine Learning, Tokenization, RNNs, Python Programming.

Hobbies 😍

  • Traveling 🧳.
  • Sports 🚴‍♂️: Hiking 🚶‍♀️ in Fes, running 🏃 on the beach in Asilah, practicing Fitness/Crossfit. I used to play volleyball. I also used to (and still do sometimes) practice Taekwondo.
  • Reading/Learning 💻: I spend most of my free time trying to learn stuffs. I try to do 1 online course per month, although I don't always manage to do so.

🎯 That's all the fork 🙏