High School Software
Resume:
Roger Booto Tokime
***, ******** ***** ***.: 506-***-**** Cell. 506-***-****
Moncton (Nouveau-Brunswick), E1G 0A9 E-mail :**********@*****.*** SKILLS:
Conscientious;
Preoccupations with details;
Aptitude to work in team and under pressure;
Facility of training and adaptation to new technologies and new work environments;
Excellent physical conditions;
Introverts and extroverts;
Enthusiastic;
Able to convince people;
Problem solving;
Communicates easily with strangers;
Attentive to requests.
EDUCATION:
University 2011 to 2015
Université de Moncton
Graduation: Bachelor degree in Computer science
High school 2008 to 2011
École l’Odyssée de Moncton
Graduation: High school diploma
COMPUTER KNOWLEDGE:
Data Mining algorithms (KNN, DBScan,SVM,A-Priori, K-Means, etc.);
Prediction algorithms (CPT, CPT+, Markov Chain based, etc.);
Clustering algorithms (K-means, Bisecting K-means, Fuzzy C-mean, etc.);
Artificial Neuron Network (ANN) using fann;
Image analysis with opencv;
C++;
Python;
C#;
Principal of computer simulation;
Linux (Server, Shell programming and distribution installation);
Nginx server;
Web (HTML5/CSS3, Jquery, JavaScript, PHP, SQL (MySql, SQLight));
LibreOffice;
Roger Booto Tokime
239, Lonsdale drive Tel.: 506-***-**** Cell. 506-***-**** Moncton (Nouveau-Brunswick), E1G 0A9 E-mail :**********@*****.*** WORK EXPERIENCES:
RtTech Software Inc May 2015 to August 2015
R&D Student Developer
Mandates carried out:
Research and Development
Working with cloud based servers and systems
Cloud based Machine Learning
Problem solving
Data analysis (Data mining)
Creation of mathematical library
VidCruiter June 2014 to August 2014
Quality Assurance Tester Internship
Mandates carried out:
Trouble shooting
Problem solving
Working into agile development principle
Test case creation
Roger Booto Tokime
239, Lonsdale drive Tel.: 506-***-**** Cell. 506-***-**** Moncton (Nouveau-Brunswick), E1G 0A9 E-mail :**********@*****.*** PERSONAL PROJECTS
Handwriting recognition of numbers with neuron network Handwriting recognition of numbers software implemented in C++ that uses Artificial Neuron Network, with the "FANN (Fast Artificial Neuron Network)" library to classify image numbers into categories base. The best configuration got an 96.17% of correct classification. Fuzzy image similarity cluster, based on color histogram and use of gaussian distribution Image similarity cluster software that can show all image that looks like the one provided. The cluster uses the image color histogram in order to categorize and the Open source Computer Vision (OpenCV) library for image processing. The fussy part came from the Gaussian distribution that allow the software to choose one or more categories that are close to the provided image.
Movies synopsis clustering, based on word frequencies and use of Bayes rules Software program that can cluster any movie synopsis and precisely tell what kind of movie is it such as comedy, action, horror, etc.
Mathematical assumption: A single word doesn't help to classify, but the set of relevant words does. By that been said rare words like Turing will most likely be surrounded by words like Alan, computer, war etc.
Movies synopsis similarity cluster, based on word frequencies and similarity vector Software program that can tell what movie synopsis are similar based on words frequencies and uses similarity vector to find similar movies.
Mathematical assumption: A single word doesn't help to classify, but the set of relevant words does. By that been said rare words like Turing will most likely be surrounded by words like Alan, computer, war etc.
LANGUAGES
French
English
Lingala
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