Ismail Mebsout, Developer in Dubai, United Arab Emirates
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Ismail Mebsout

Verified Expert  in Engineering

Data Scientist and Developer

Location
Dubai, United Arab Emirates
Toptal Member Since
September 16, 2022

Ismail is a senior data science consultant, machine learning (ML), and deep learning practitioner with a strong appetite for DevOps and machine learning operations (MLOps) subjects. He strives to identify and solve complicated business cases by building artificial intelligence (AI) solutions that bring real value to clients.

Portfolio

Capgemini
Data Visualization, Data Science, Machine Learning, Deep Learning...
Arval - BNP Paribas Group
Python, Machine Learning, Data Visualization, Clustering
Bosch
Python, Data Visualization, Data Analysis

Experience

Availability

Part-time

Preferred Environment

Slack, MacOS, Python, Visual Studio Code (VS Code)

The most amazing...

...part of being a senior data science consultant is the ability to develop end-to-end ML products, from business framing to UAT and PRD deployments.

Work Experience

Senior Data Scientist | Consultant

2019 - 2022
Capgemini
  • Developed and deployed a Decision Support Tool concerning investment applications based on textual and numerical comparisons with historical data.
  • Created and industrialized an AI pipeline capable of parsing financial reports and matching the extracted elements with the in‐house lexicon.
  • Extracted patient perception of breast cancer treatments through scrapped tweets by analyzing the used molecules and their side effects.
  • Established an intelligent incident reporting dashboard on national railways routes using tabular and graphical visualizations.
  • Deployed an algorithm as a decision support tool in the industrial chain, facilitating multi‐constraint optimization of an ore refining process.
  • Built of two stacked layers of computer vision capable of detecting and tracking objects inside the terminal and outside on the tarmac with the ability to alert on abandoned objects.
  • Monitored internal transformation through a multi-axial approach based on business KPIs illustrated within an internal dashboard.
  • Taught as an organizer and data science lead of the natural language processing (NLP) course within the X-HEC for Business Master of Science and Technology.
  • Provided a deep learning crash course for the individualized program plans (IPP) students as part of Hi! Paris.
Technologies: Data Visualization, Data Science, Machine Learning, Deep Learning, Generative Pre-trained Transformers (GPT), Natural Language Processing (NLP), Computer Vision, DevOps, APIs, Git, Docker, Microsoft Power BI, Amazon Web Services (AWS), Elastic, Dash, Plotly, Regression, Databricks, Microsoft Azure, Data Cleaning, Data Engineering, Siamese Neural Networks, Dashboards, Reporting, Sentiment Analysis

Data Scientist

2018 - 2018
Arval - BNP Paribas Group
  • Clustered of the use of vehicles equipped with telematic boxes, using unsupervised machine learning algorithms.
  • Crossed the clusters with insurance and gas data.
  • Applied the approach to other countries—France and Italy.
Technologies: Python, Machine Learning, Data Visualization, Clustering

Data Scientist

2017 - 2017
Bosch
  • Contributed to the driving of an automatic car fully equipped with sensors.
  • Analyzed sensors' data installed in different parts of the car and compared it with theoretical models in various driving scenarios.
  • Conducted detection and analysis of outliers and anomalies coming from the sensors.
Technologies: Python, Data Visualization, Data Analysis

Enhanced Camelot-py

https://github.com/ismail-mebsout/Parsing-PDFs-using-YOLOV3
Enhanced the python library, Camelot, by adding a computer vision brick capable of detecting tables’ bounding boxes on the PDF image and transforming them into PDF coordinates to be fed to Camelot for more accurate table extraction.

ML Engineering and MLOPS Blog

https://ismail-mebsout.medium.com/
Contributed and created a collection of articles discussing theoretical and technical topics related to ML engineering and MLOPS, such as:
• Deep Learning
• Computer Vision
• Recurrent Neural Networks
• Dashboarding
• APIs
• Docker
• Data Science tools
2018 - 2019

Master's Degree in Big Data and Data Science

University of Lorraine - Nancy, France

2015 - 2019

Master of Science Degree in Engineering - Informatics and Applied Mathematics

Ecole des Mines de Nancy - Nancy, France

OCTOBER 2021 - PRESENT

Natural Language Processing Specialization

DeepLearning.AI

OCTOBER 2021 - PRESENT

Bayesian Methods for Machine Learning

HSE University

MARCH 2018 - PRESENT

Deep Learning Specialization

DeepLearning.AI

FEBRUARY 2018 - PRESENT

Machine Learning

Stanford University I Online

SEPTEMBER 2017 - PRESENT

Data Scientist with Python

DataCamp

Tools

Git, Slack, Microsoft Power BI, Elastic, Plotly

Languages

Python

Paradigms

Data Science, DevOps, Siamese Neural Networks

Platforms

Visual Studio Code (VS Code), MacOS, Docker, Amazon Web Services (AWS), Databricks

Other

Statistics, Machine Learning, Deep Learning, Data Mining, Data Visualization, Natural Language Processing (NLP), Computer Vision, Generative Pre-trained Transformers (GPT), Forecasting, Probability Theory, Optimization, Knowledge Transfer, Distributed Architecture, APIs, Recurrent Neural Networks (RNNs), Data Analysis, Engineering, Bayesian Inference & Modeling, Clustering, Classification, Dash, Regression, Microsoft Azure, Data Cleaning, Data Engineering, Dashboards, Reporting, Sentiment Analysis

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