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Resume:
Bashar Abdallah
*********@*****.***
Montreal, Canada
PERSONAL SKILLS
Self-motivated
A team player
Fast and self-learner
TECHNICAL SKILLS
Python, Scikit-Learn, Neural Network, Retrieval and Clustering, Data analysis, predictive Modeling, Machine Learning Techniques, Data Mining Techniques,Statistics, Scala, Spark, Big Data, PCA, LDA, Model Evaluation, Regression Analysis, Classification, ANN, JavaScript, JQuery, MySQL, Java, C++, C#, Visual Studio, JIRA, SQL, Software Development Lifecycle, Microsoft Project, Microsoft Office, Operating Systems. EDUCATION
Master in Software engineering (2017-present)
Quebec University (ETS) -Montreal, Canada
Laboratoire d'ingénierie cognitive ET sémantique (LinCS) Bachelor in Computer Science (2012-2016)
Al-Balqa Applied University - Irbid, Jordan
GPA: 3.22/4 (very Good)
Relevant Courses:
C++, Java,C#, Data Mining, Data Structures, Visual Programming, Algorithms Theory, Computer Networks, Software Engineering, Database Systems, Oracle Administration, Information Retrieval Systems, Wireless Networks Security, Web Applications Programming, Operating Systems, Computer Architecture, Microprocessors, Expert Systems and Artificial Intelligence.
EXPERIENCE
Machine Learning Engineer and Data Scientist Researcher at Laboratoire d'ingénierie cognitive ET sémantique (LinCS)
(2017-present)
In this project I’m detecting Depression in Alzheimer patients through speech analysis by applying the following techniques: Data mining, Audio Mining, Retrieval and Clustering, Data analysis, predictive Modeling, Machine Learning, Classification Method, Statistics, Python, Scikit-Learn, Neural Network.
Internship - at Keys Training & Solutions (KTS) (2016 – 2017) Jordan (Oracle Partner)
Developing in HTML5,CSS3, JAVASCRIPT, JQuery, Bootstrap and PHP
Coordinating with the design, JAVASCRIPT and HTML/CSS teams
Software Development Lifecycle
ASP.NET Programming and C# (windows Application) CERTIFICATES
Machine Learning for Data science on python and R Studio – Udemy
Data Preprocessing, Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression, Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification, K-Means, Hierarchical Clustering, Association Rule Learning, Reinforcement Learning, Natural Language Processing, Deep Learning, PCA, LDA, Kernel PCA, k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost
Speech Recognition Systems – Microsoft
Speech Signal processing, Acoustic Modeling, Language Modeling, Speech Decoding.
Scala and Spark for Big Data and Machine Learning
Scala, Spark Data Frames with Scala, Regression with Spark, Classification with Spark, Model Evaluation, Clustering with Spark, PCA with Spark, DataBricks and Spark. SELECTED PROJECTS at School
1- CÉCILIA project
Detection of language alterations in Alzheimer's patients The project is focused on the automatic analysis of conversations from elderly people, with the aim of detecting language alterations present in Alzheimer's patients. This project's intent is to propose an economical and noninvasive alternative for the early detection of Alzheimer's signs. My Role is detecting Depression in Alzheimer patients by Speech analysis. In This project we use Machine Learning techniques, Data Mining (Text and Audio) and Speech Recognition (ASR). 2-Travel Everywhere
This is a Project that done using JavaScript, CSS3, JQuery, Bootstrap, SQL and php. Which is a website that’s help the people to find the best hotels with a good price when they travel. 3- Craigslist Jordan Website
Craigslist Jordan is a website that provides different commercial services such as: car rental and trading. The technology we used in this project was ASP.NET and SQL programming language. REFERENCES AVAILABLE UPON REQUEST
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