Ali Fradi
Angestellt, Operational research scientist, Mecart
Student, Applied mathematics and industrial engineering, École Polytechnique de Montréal
Montreal, Kanada
Über mich
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.
Werdegang
Berufserfahrung von Ali Fradi
Bis heute 1 Jahr und 9 Monate, seit Sep. 2022
Operational research scientist
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.
1 Jahr und 3 Monate, Feb. 2020 - Apr. 2021
R&D data scientist
axefinance
∠ Built models to summarize financial sentiment, extract topics, define topic-document DNA and detect named entities in in textual data. ∠ Developed a document recommendation engine to search for pertinent news articles about an industry. ∠ Developed versions of a framework that automates data processing and major calculations to build a scorecard model. The framework considers exporting models as PMML format. ∠ Functionized all modules into Plumber APIs that were consumed into a shiny dashboard.
∠ Adopted CRISP-DM approach designed for industries to achieve the project. ∠ Developmentofdashboards:automatecalculationsandreporting,boostgenerationofEMEAreports. ∠ Modeling:predictionofsterilityclassofcornplants(hypothesisanddatadrivenapproach)tooptimize the costs of detasseling plants and preserve the quality of the product. ∠ Evaluation and Deployment : acceptable model with an accuracy of 86% .
2 Monate, Juli 2018 - Aug. 2018
R developer
Data Expert
Development, in collaboration with customers, of Shiny applications, test and validation of the application Sankey graph on two iterations and that of ANOVA since the first test. Observing fans’ interactions on Facebook radio pages in Tunisia to advertising posts through a customizable Sankey graph generated from the input data. Analysis of the effect and interaction between factors defined on the qualities of olive oil through automated statistical tests and ANOVA.
The mission aimed to increase sales of Shell lubricants in stations during refueling time Benchmarking and classification of necessary products. feasibility study and budget estimate for the realization of the project
Ausbildung von Ali Fradi
Bis heute 2 Jahre und 9 Monate, seit Sep. 2021
Applied mathematics and industrial engineering
École Polytechnique de Montréal
3 Jahre und 3 Monate, Aug. 2016 - Okt. 2019
Industrial Engineering and Operations Research
University of Tunis El Manar
Banking Finance and Machine Learning specialization
2 Jahre und 11 Monate, Aug. 2013 - Juni 2016
pre-engineering intensive courses
University of Tunis El Manar
Linear algebra Mathematical analysis Engineering technological sciences : mechanical sciences Inorganic Chemistry
Sprachen
Englisch
Fließend
Französisch
Fließend
Deutsch
Grundlagen
Arabisch
Muttersprache