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
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
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
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
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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
- Exam PL-300: Microsoft Power BI Data Analyst, DataCamp
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)
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