Hello, I’m Ali.
Industrial engineer

Meet Ali, the engineer who loves data and math. Ali has a background in industrial engineering, but he is passionate about data science and applied mathematics. He has worked as a data scientist for various companies in different sectors, such as agriculture and finance. He uses his skills in statistics and mathematics to create tools that help businesses solve their problems and make better decisions.

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Who am I?

I am a big fan of R programming at first. Deploying my models within shiny web applications is a moment of euphoria and excitement.

My job is about solving industrial problems with math and data. I have a knack for mathematical modeling and data analysis. I know how make use of information systems, operational research, stochastic optimization, reinforcement learning and applied machine learning to solve real-world challenges. I like to read scientific papers and replicate results that can help industries improve their performances. I am still learning and I aim to build an experience that connects and leverages my knowledge areas and to increase my ability to tackle industrial problems.

About Me

Portfolio

MILP modeling to schedule modular houses projects for <a href='https://mecart.com/'>MECART</a>

MILP modeling to schedule modular houses projects for MECART

Development of a project scheduling model under uncertainties and constraints of 4.0 industry.
Developed a linear program minimizing delays and completion times.
The model includes preemptive tasks of multi-projects, overlapping tasks, and limitation of number of preemptions per task.
Implementation of model on cplex and testing of different formulations to interprete relaxation and objective functions impact on the model behavior.

Paper is under review

Automated ANOVA analysis

This application automates the analysis of the effect and interaction between defined factors on the qualities of olive oil through statistical tests and ANOVA. Trial data is available here

Launch Application
Automated ANOVA analysis
Double/Triple Q-learning algorithms implementation on different Reinforcement learning environments.

Double/Triple Q-learning algorithms implementation on different Reinforcement learning environments.

This paper is a reproduction and analysis report for double Q-learning algorithm in which we consider implementing Q-learning algorithm variants on different reinforcement learning environment to challenge its performance and conclude about our contribution. This paper and the work behind were elaborated in collaboration with Ghofrane KHEDHIRI and Joshua AMELIA during the class of INF8953DE

Read paper
Feb 2020 - Apr 2021
R&D Data scientist
Apr 2019 - Oct 2019
Data analystics scientist

Experience

More than 2 years working with companies in different fields of activities. I contribute to R&D, developing new products in direct link to data science to help teammates and business increase performance and offer better alternatives for their clients.

Linkedin Download My Resume

Education

2021-2024
University of Montreal: Polytechnic School
Master of industrial engineering and applied mathematics (3.3/4 GPA)
2016-2019
University of El Manar: National School of Engineers in Tunis (ENIT)
Industrial Engineering (13.4/20 as a major mark)
2013-2016
University of El Manar: IPEIEM
Intensive preparatory scientific courses for engineering studies (ranked 267 and 25 out of 1400 candidates for the competitive exams)

Testimonials

Ali is an excellent professional, I was able to assist him during his internship at Monsanto legacy/ Bayer. He is very proactive and committed to self-development, is always looking to be collaborative in projects and has a very expressive Statistical/ Programming background. It was a pleasure working with you Ali!

Kamylla Leandro

Kamylla Leandro

Data Science & Analytics

Talented, technically solid and very driven Data Analytics Scientist. Ali joined my team in France to work on his graduation Internship. His inquisitive nature and strong ability to learn allowed him to quickly understand the basis principles of a new domain for him, agriculture, and effectively apply his data science knowledge to work on specific business problems. He demonstrated solid Project Management skill, delivering good-lasting value to the team and committing to timelines. His optimistic nature and always positive attitude made it enjoyable for the team to work with him. Ali will be a great asset to any team looking for a solid Data Analytics' Scientist.

Agustin Fonseca

Agustin Fonseca

Head of EMEA Row Crop Production Research at Bayer Crop Science

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Phone Number

+1438-493-3907

Email

alifradi7@gmail.com

Address

Cote des neiges, Montreal, Quebec, Canada

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