Ouadie El farouki has a diverse work experience spanning various roles in the software engineering and data science fields. In their most recent role at Codeplay Software, starting in May 2023, they serve as a Staff Software Engineer. Prior to that, they worked as a Research Development Software Engineer at Codeplay Software starting in April 2021.
Before joining Codeplay Software, Ouadie worked as a Software Developer at Nimble Ways from March 2020 to July 2020. They also held the position of Data Scientist & Software Developer at Xcelerit from November 2019 to February 2020.
Ouadie has experience as a Freelance Data Scientist at Fiverr from September 2019 to November 2019, and as a Machine Learning Engineer Intern at Payment Center For Africa - PCA from February 2019 to June 2019.
In addition, Ouadie has interned as a Data Scientist at getrecall in July 2018, where they worked on price floor optimization in ad-exchange using unsupervised clustering and aggregation techniques. They also interned as a Data Scientist at WeOptim from July 2017 to September 2017, where they developed a forecasting application based on a micro-service architecture and implemented statistical modeling and forecasting methods.
Overall, Ouadie's work experience showcases their expertise in software engineering, data science, machine learning, and statistical modeling.
Ouadie El farouki began their education in 2013 when they entered the Classes Préparatoires aux Grandes Ecoles, where they studied Mathematics, Physics & Engineering Science. Ouadie completed this program in 2015.
From 2015 to 2019, Ouadie attended the Mohammadia School of Engineers, where they pursued a Diplôme d'ingénieur in Modélisation et Informatique Scientifique.
In 2019, Ouadie completed their undergraduate studies and obtained their Diplôme d'ingénieur.
In 2020, they enrolled in Mines Paris to pursue a Master professionnel in High Performance Computing & AI, which they are expected to complete in 2021.
In terms of additional certifications, Ouadie has obtained several from different institutions. Ouadie completed courses such as "Beginning C++ Programming - From Beginner to Beyond," "DevOps: CI/CD with Jenkins using Pipelines: Complete Tutorial," and "Modern c++ concurrency in depth" from Udemy in 2019-2020. Ouadie also completed courses related to machine learning and data science on Coursera, including "Convolutional Neural Networks," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Neural Networks and Deep Learning," "Practical Machine Learning," "Regression Models," "Statistical Inference," "Exploratory Data Analysis," "Getting and Cleaning Data," "R Programming," and "The Data Scientist’s Toolbox" between 2017 and 2018.
Overall, Ouadie has a strong educational background in engineering and has also obtained certifications in programming, DevOps, and various areas of machine learning and data science.
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