Badr-Eddine, Developer in Meknes, Meknes-Tafilalet, Morocco
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Badr-Eddine

Verified Expert  in Engineering

Data Scientist and Developer

Meknes, Meknes-Tafilalet, Morocco

Toptal member since June 20, 2022

Bio

Badr is a data scientist with a master's degree in applied mathematics from the University of Oxford and almost four years of experience working as a machine learning scientist at Amazon. Badr specializes in researching and implementing state-of-the-art models in various machine learning topics. He is also keen on building learning-to-rank and multi-armed bandits models to optimize eCommerce search engine relevancy metrics.

Portfolio

Amazon
PySpark, Amazon SageMaker, Search Engines, Machine Learning, Learning to Rank...

Experience

  • Scikit-learn - 5 years
  • Mathematics - 5 years
  • Machine Learning - 5 years
  • Probability Theory - 5 years
  • Statistics - 5 years
  • Deep Learning - 3 years
  • Learning to Rank - 2 years
  • Graphical Models - 1 year

Availability

Part-time

Preferred Environment

Amazon Web Services (AWS), Amazon SageMaker, Machine Learning, Deep Learning, Rankings, Search Engines, PySpark, Scikit-learn, Pandas, TensorFlow

The most amazing...

...solution I've built is a machine learning ranking model for a large eCommerce store, which increased the annual sales by over $80 million.

Work Experience

Applied Machine Learning Scientist

2019 - 2022
Amazon
  • Built and deployed machine learning models to improve the ranking and relevance of Amazon's search engine.
  • Delivered several end-to-end experiments, researching, implementing, testing, and deploying three ranking models.
  • Optimized and automated the execution pipeline of a global delivery optimization model.
Technologies: PySpark, Amazon SageMaker, Search Engines, Machine Learning, Learning to Rank, Data Science, Scikit-learn, Pandas, Python, SQL, Data Analytics, Data Reporting, Data Mining, Data Visualization, Data Analysis, Data Engineering, Reports, Heatmaps, Dashboards, Data Scientist, Time Series, Demand Planning, Inventory Management, Regression Modeling, Predictive Analytics, Data Modeling, Predictive Modeling

Experience

Ranking Model for Media Category for an eCommerce Store

I owned an end-to-end, learning-to-rank experiment, handling the research, design, implementation, testing, and deployment phases. Deployed the ranking model across media categories for several marketplaces. The A/B testing results indicated an increase of more than $30 million in Gross Merchandise Value (GMS).

Education

2018 - 2019

Master of Science Degree in Applied Mathematics

University of Oxford - Oxford, United Kingdom

2016 - 2018

Master of Engineering Degree in Computer Science and Applied Mathematics

University of Paris-Saclay, CentraleSupélec - Paris, France

Certifications

JULY 2019 - PRESENT

Oxford MSc Diploma

University of Oxford

Skills

Libraries/APIs

Scikit-learn, Pandas, PySpark, TensorFlow

Tools

Amazon SageMaker

Languages

Python, SQL

Platforms

Amazon Web Services (AWS)

Other

Machine Learning, Rankings, Search Engines, Mathematics, Optimization, Graphical Models, Probability Theory, Statistics, Learning to Rank, Data Science, Data Analytics, Data Reporting, Data Visualization, Data Scientist, Deep Learning, Algorithms, Data Structures, Data Mining, Data Analysis, Data Engineering, Reports, Heatmaps, Dashboards, Regression Modeling, Predictive Analytics, Data Modeling, Predictive Modeling, Gradient Boosting, Applied Mathematics, Time Series, Demand Planning, Inventory Management

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