Marwa DHIAF
Data Scientist/Engineer
datamining python data scienist machine learning
33 ans
Sfax (3002)
Situation professionnelle
En recherche d'emploi
Ouverte aux opportunités
Computer Engineer Web and Multimedia Technology
Higher Institute of Computer Science and Multimedia of Sfax ISIMS
2016
à 2018
My end of studies project is entitled: Implementation of a recommendation system using
deep learning. It's about creating and developing a deep learning system
CNN_U_I (Convolutional Neural Network User Item) under python based on the
method of the networks of articular neurons. Mention very good (16.5).
deep learning. It's about creating and developing a deep learning system
CNN_U_I (Convolutional Neural Network User Item) under python based on the
method of the networks of articular neurons. Mention very good (16.5).
Master in computer systems development and networks
Bachlor degree
2012
à 2015
Senior Technician in Information Science and Technology and Telecommunications
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React native,c,java,J2EE,REST API,soap,JaxWS,HTML,jsp,vb.net,
Avancé
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Prolog,Python,R.studio,
Avancé
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Pentaho,Spago BI,Talend
Bon niveau
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Access,mysql,oracle,sql server,Mongo DB
Bon niveau
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Windows , XUbuntu.
Expert
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Theory of learning and algorithm, supervised and non supervised classication methods , text mining, graph analysis, data recommendation methods of the web, deep learning, artificial neural networks, CNN (Convolutionel Neural Network), SVM, Pretrained models, tuning, VGG, ResNet.
Expert
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Tools: anaconda, spyder, keras, theano, tensorow,Spark,Amazon AWS, Amazon Sage Maker.
Expert
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Development of a data mining algorithm using the nltk package under python, and different datasets yelp, amazon and IMDB, health care, .
Expert
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Visualization of the results: test and optimisation , accuracy, loss function, metrics, variation parametrs
Expert
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Theano,Scikit-learn,numpy,pandas,matplotlib,sklearn,
Expert
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words embedding : Wor2vec, glove,seqToseq
Expert
R&D engineer/ developer IA
Fogits Solutions
Depuis octobre 2018
- Developing, and testing algorithms
based on deep learning combined EHealth, and machine learning,
supervised learning, deep
learning. - cancer classication: VGG, pretrained
model, accuracy = 90%.
Chatbot E-health: LSTM, RNN, word
embeddings, Wor2Vec, text generation.
Our Company: Mobile Application That
Extracts tweets from users and
directs them to a system of analysis of
feeling via a web service:
SVM, native React, django, REST API. - Counting cells: its about developing a system based on unsupervised approach which detects imminohistochemical medical image cells and displays a percentage of malignant and benign cells.
Tools: jupyter,python, cluster, opencv, html,css, js, REST API, django,deploying system. - Writing blogs for Artificial Intelligence, and training session for students
President of the club microsoft
ISET
2013
à 2015
- Setting up training courses and
competitions concerning the
application development
mobile.
Internship student
Tunisie Telecom Sfax
Janvier 2014
à 2014
- Set up in the environment of
Tunisia Telecom an application that
detects component connection
with Jav