Data Analyst Research Assistant

CONTACT ME AT

+1-514-***-****

Montreal, Quebec

********.*@*****.***

wafabenzaoui

WafaBenzaoui

TECHNICAL SKILLS

Programming languages:

Python, C, C++, Matlab

Data Analysis:

Pandas, NumPy, SQL, HTML

Machine Learning:

SVM, KNN, PCA and more

Deep learning:

CNN, RNN, Tensorflow, PyTorch

Data Engineering:

MLflow, Docker, Sklearn, CGP

Visualization:

Seaborn, Matplotlib, Plotly

Image processing:

OpenCV, OpenGL

- Developed an imaging system model based on the light field.

- Designed image processing and computer vision algorithms.

- Experienced working with machine learning approaches, optimization algorithms, Bayesian optimization and imaging system modeling (From light to image). WAFA BENZAOUI

Data Analyst

LANGUAGES

- English : Professional

- French : Proficient

- Arabic : Native

INTERESTS

- Traveling and artisan sewing

WORK EXPERIENCE

Research Assistant Computer science

Université de Sherbrooke, Canada September 2015 - September 2017 Assistant lecturer and researcher

University of Kasdi Merbah, Ouargla, Algeria February 2011 - August 2015 September 2017 -August 2021

ACADEMIC BACKGROUND

Master in Intelligent Systems and Robotics

University of Science and Technology - Mohamed Boudiaf. Algeria 2008- 2010 Engineering degree in Control and Automated Systems National Polytechnic School, Algeria 2002 - 2007 University of Mohamed Khider Biskra. Algeria

Expected graduation date Oct 2022

Data Scientist Bootcamp: Le Wagon Montreal - Batch # 847 Avril 2022 - Juin 2022

Ph.D. candidate in AI and imaging

- Teaching: Optimal control, robotics, image processing, control systems and more.

- Supervising graduate thesis: Videosurveillance, image enhancement, face anti- spoofing attack detection.

- Experience in object detection, tracking, features matching, multi focus imaging, thermal imaging, camera calibration, stereo -vision. SOFT SKILLS

-Problem-solving

-Self-starter

-Teamwork and communication

-Administration and management

PROJECTS

Recipe Recommendation System:

We have built an application that offers the ideal recipe from a fridge photo, using PyTorch for object detection, NLP to features engineering, Heroku for deploying the model and Streamlit for the UI.

Data analytics: Numpy, Pandas. Visualization: Plotly, Seaborn. Founder & CEO

Sarl VISIOing, Algeria 2012 - 2015

- Founded a startup which focuses on automation and product quality inspection by the use of cameras.

- Managed the aspects of business development from market research and finance to operations and technical aspects.

CERTIFICATES

-Web design Certificate- Algeria

-Computer Networking Certificate- Algeria

A fast-learner Data Analyst with 8 years of proven history working in computer vision. Areas of expertise include machine learning, deep learning, data analysis, optimization, and statistics.

Contact this candidate