Ismail Mebsout
Verified Expert in Engineering
Data Scientist and Developer
Dubai, United Arab Emirates
Toptal member since September 16, 2022
Ismail is a senior data science consultant and 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
Experience
- Python - 8 years
- Deep Learning - 5 years
- Data Science - 5 years
- Natural Language Processing (NLP) - 5 years
- Computer Vision - 5 years
- Machine Learning - 5 years
- Large Language Models (LLMs) - 2 years
- Generative Artificial Intelligence (GenAI) - 2 years
Availability
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
Emirates Group
- Handled the assessment and framing of data science use cases across multiple departments of the Emirates Group.
- Developed and deployed data science and Generative AI solutions.
- Managed and mentored different junior roles within the team.
Lecturer
OpenClassrooms
- Conducted mentoring sessions for the data analyst and data scientist tracks of OpenClassrooms.
- Taught data analysis and data science concepts and assisted with multiple projects on both tracks.
- Managed the students' assignments and progress on both tracks.
Lecturer
Ecole Polytechnique
- Worked as the organizer and lecturer of the NLP module within the MSc Data Science for Business.
- Managed a team of five data scientists and five consultants, delivering the module on a 2-month period every year.
- Collaborated with the school to ensure the module's success while adhering to their teaching and evaluation policies.
Senior Data Scientist | Consultant
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.
Data Scientist
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.
Data Scientist
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.
Experience
Enhanced Camelot-py
https://github.com/ismail-mebsout/Parsing-PDFs-using-YOLOV3ML Engineering and MLOps Blog
https://twodeltatech.ai/Education
Master's Degree in Big Data and Data Science
University of Lorraine - Nancy, France
Master of Science Degree in Engineering - Informatics and Applied Mathematics
Ecole des Mines de Nancy - Nancy, France
Certifications
Natural Language Processing Specialization
DeepLearning.AI
Bayesian Methods for Machine Learning
HSE University
Deep Learning Specialization
DeepLearning.AI
Machine Learning
Stanford University I Online
Data Scientist with Python
DataCamp
Skills
Tools
Git, ChatGPT, Slack, Microsoft Power BI, Elastic, Plotly
Languages
Python
Platforms
Visual Studio Code (VS Code), MacOS, Docker, Amazon Web Services (AWS), Databricks
Paradigms
DevOps, Siamese Neural Networks
Other
Statistics, Machine Learning, Deep Learning, Data Mining, Data Science, Data Visualization, Natural Language Processing (NLP), Computer Vision, Generative Pre-trained Transformers (GPT), Generative Artificial Intelligence (GenAI), Large Language Models (LLMs), Retrieval-augmented Generation (RAG), Prompt Engineering, Artificial Intelligence (AI), 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, Machine Learning Operations (MLOps), OpenAI
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