wafa chenni
big data engineer and data scientist
About
I am a data scientist, machine learning and computer vision engineer with a passion for technology. I have experience with different aspects of machine/deep learning, computer vision, data processing, cleaning and visualization. I have done many internships and project where I collaborated actively with different teams improving thus my communication skills. I can say that I’m an enthusiastic learner, critical thinker and active listener. I’m also a complex problem solver and troubleshooter. Always open for more experience and adventures. I have also collaborated with non-profit organizations as a volunteer to improve people’s lives and make this world a little bit better.
france
paris
higher education
matlab, machine learning, computer vision, image processing, vhdl, c, labview, python, c++, 68k assembly, linux scripting, segmentation, r, java, ubuntu, java oop, opencv, object recognition, r programming language, python 2.x and 3.x, advanced image processing, deep learning, keras, image segmentation, arch, tensorflow, scala, apache spark, spark, spacy, supervised learning, unsupervised learning, coclustering, big data analysis, text mining, data visualization, dimensionality reduction, sql, sql orcale, natural language processing, predictive modeling, applied mathematics, independent thinking, big picture thinking, pyspark, big data, scikit learn, cluster analysis, pandas, artificial intelligence
Experience
teacher
superprof and kelprof
I am working as a teacher of mathematics, electronics, automation, coding, image processing and computer science. I teach also languages as English and Arabic. I offer my services to a diffident range of students that goes from elementary school pupils to higher eduction students and sometimes workers in different companies.
apprentice in data science
prisma media
Apprentissage (M2) Data Science : Data engineering and cleaning, predictive modeling of sales, text and Data mining and analysing with Python, R and SQL
summer scholar
university of waterloo
machine and deep learning intern at the kimia lab
university of waterloo
* Segmentation of bio-medical scans with image processing and machine learning tools * Big data manipulation * Tissue segmentation using mathematical tools and deep Learning frameworks * During this internship, I gained experience with different machine and deep learning tools such as : * autoencoders * Convnets (Inception VGG16, Xception, and Resnet) * Self-Organizing Maps, Random Forests, Support Vector Machine * Content-Based Image Retrieval systems * Deep Belief Networks * Restricted Boltzmann Machines * As well as multiple clustering algorithms and image processing techniques ...
research work
upmc - sorbonne universities
* Development of an algorithm for gesture segmentation in complex motion sequences * The main tasks were: * learning individual gestures from their multiple poses with an HMM model (Hidden Marcov Model) * the constitution of the HMM model of the sequences from their gestures (HMM left-right) * Use already learned patterns to segment and recognize gesture sequences * Programming Language: MATLAB * Key words : HMM left-right, statistics, Matlab, gesture segmentation, gesture recognition
intern
lab of signals and systems supélec
The goal of the internship was to : ▪ design an autopilot calculator to improve the system’s dynamic response and ensure a specific input-output decoupling of a simulated aircraft on Matlab Simulink. ▪ Interfacing the simulator to the calculator
study and research project
laboratoire de recherche en informatique (lri)
Programmed an algorithm to characterize the transformation undergone by a smart material - Studied optical flow algorithms to identify the parameters to tune Tools : Image processing, machine learning, algebra
project
laboratory of école nationale supérierue de technologie enst
* Designed an autonomous robot from scratch * Designed an algorithm for trajectory correction and * heat tracking with IR sensors
internship
l'algérienne des tubes métallique
* The theme of this internship was to automate a plasma cutting unit of metal tubes * Tools * ▪ Automation * ▪ Grafcet, API SIEMENS, Step7
internship
essalam electronics
Fault detection on the printed circuits of household appliances Welding and desoldering of electronic components
stage à tudiant
altumet
the main goal of this internship was to explore and learn about the company and its policies
big data engineer and data scientist
ermes
AI, machine and deep learning, NLP, python, pyspark, mongo
Education
université paris descartes
mining
sorbonne université
paris - sud university (paris xi)
electrical engineering
lycée colonel amirouche
wafa chenni's Contact Information
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