Ali FRADI
Montréal,Canada
Summary
M.A.Sc in Industrial Engineering and Applied Mathematics with a solid foundation in statistical learning, data analysis and BI development.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Operational Research Scientist
Polytechnique De Montréal - MECART
Montréal, Canada
09.2022 - 05.2024
- Developed a MILP to minimize delays and completion times for P-RCMPSP in ETO industries, enhancing tactical resource planning across 6 departments.
- Modeled production planning with limited preemptions, overlapping activities.
- Implemented models in IBM CPLEX, testing 2 formulations to evaluate relaxation and objective functions impacts.
- Tested real-world data, finding discontinuous energy allocation ~4x faster than continuous splitting for ~150 activities.
- Published results in Springer: Multi-Project Scheduling Problem with Limited Preemption and Ordinary Feeding Precedence Relations.
- Keywords: MILP, Scheduling, preemption, CPLEX, Python, Julia, R
Data Scientist
axefinance
Tunis, Tunisia
10.2018 - 08.2022
- Designed ETL pipelines for high-quality data extraction, NLP tasks, and web scraping.
- Automated testing, logging, and deployment using GitHub Actions and Docker.
- Orchestrated ETL workflows using Airflow and multi-container Docker services.
- Built NLP models for financial sentiment analysis, key topic extraction, and credit risk assessment.
- Developed recommendation systems and Shiny apps integrated with APIs for interactive visualizations.
- Automated scorecard model processing, exporting results in PMML.
- Contributed to Power BI dashboarding POCs and mentored interns on technical challenges and task alignment.
- Keywords: NLP, ETL, CI/CD, Airflow, Docker, SQL, Python, R, Power BI, scorecard modeling, CRISP-DM.
Data Analyst
Monsanto Bayer
Bayonne, FRANCE
03.2018 - 09.2018
- Adopted CRISP-DM approach designed for industries to achieve the project
- Development of dashboards: automate calculations and EMEA reporting
- Modeling: prediction of sterility class of corn plants (hypothesis and data driven approach) to optimize the costs of detasseling plants and quality of the product
- General model prediction precision is about over 80 % which helped reduce planting setting side effects
- Deployment of the model on local server
- Keywords: Statistical modeling, R, Markdowns, Shiny interactive dashboards
Education
Master of Science - industrial engineering
Ecole Polytechnique De Montréal
Montreal, QC05-2024
Bachelor of Science - Industrial Engineering
National School of Engineers in Tunis (ENIT)
Tunis, Tunis11-2018
Pre-engineering intensive courses -
University of El Manar (IPEIEM)
01.2015
Skills
- Power BI
- DAX
- R
- Python
- Airflow
- VBA
- Docker
- SQL
- CPLEX
- AnyLogic
- Pytorch
- Planning
- Creative Problem-Solving
- Paper writing
Certification
- Exam PL-300: Microsoft Power BI Data Analyst, DataCamp
Languages
English
French
German
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
swipe to browse
Timeline
Operational Research Scientist
Polytechnique De Montréal - MECART
09.2022 - 05.2024
Data Scientist
axefinance
10.2018 - 08.2022
Data Analyst
Monsanto Bayer
03.2018 - 09.2018
Master of Science - industrial engineering
Ecole Polytechnique De Montréal
Bachelor of Science - Industrial Engineering
National School of Engineers in Tunis (ENIT)
Pre-engineering intensive courses -
University of El Manar (IPEIEM)