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Description

🔌 Strategy x Technology

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📌 My three hats:

🧢 Software Engineer 🎩 Data Scientist/Engineer 🪖 ERP Consultant (Odoo)

📌 Mantra:

Problem Solver | Craftsman Mindset

📌 What I offer as expertise (non-exhaustive list 🙂) :

✅ A strategic view of the business problem to accurately identify it and subsequently optimize the technical solution

✅ Web Development from scratch (POC -> MVP -> Prod) or Collaboration on an existing codebase

✅ Automation of the software chain with a DevOps mindset (Code and Infrastructure)

✅ Support during the adoption of an ERP solution (installation, configuration, integration, and specific development)

✅ Automation of workflows and robotization of business processes

✅ Building data pipelines (collection/ETL/learning)

✅ Data valorization to evaluate AI-based solutions

✅ Development of AI-integrated solutions

📌 My Stack 💪:

✅ Programming: ⏫ Python, JavaScript 🔽 Scala, Java, Rust

✅ Machine|Deep Learning: Scikit-learn, auto-sklearn, Numpy, Pandas, Dask, Plotly, XGBoost, PyTorch

✅ NLP: SparkNLP, Transformers, LLMs, LangChain, Faiss, Chroma DB

✅ Databases: SQL(MySQL, SQLite, PostgreSQL) | NoSQL(MongoDB)

✅ Big Data: Spark Ecosystem (SQL, Streaming, MLlib, GraphX, ...)

✅ Workflow Engine: Airflow

✅ Web: Django, Wagtail, DRF, jQuery, Bootstrap, AJAX, Selenium, Scrapy

✅ ERP: Odoo

✅ Cloud Environments: Linode, Azure, AWS

✅ Development Tools: PyCharm, Jupyter, IntelliJ IDEA, Sublime Text, Git, Gitlab, Gitea, Github, Docker, Jenkins

✅ Monitoring: Prometheus, Grafana

✅ Development Methods: Agile (Scrum), DevOps

✅ Systems: Linux (Debian|Ubuntu|Red Hat)

📌 Let A = { Expertise } ∪ { My Stack } :

🚀 If { Your Project } ∩ A ≠ ∅ ; do not hesitate to contact me with a mission description! 🚀

Industry field of expertise

Languages

Arabic
Native or bilingual
English
Fluent
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km), Toulouse (up to 50km), Lille (up to 50km), Tours (up to 50km), Lyon (up to 50km)

MINDIMENSIONS
Software Engineer | Data Scientist/Engineer
SOFTWARE PUBLISHING
December 2019 - Today (6 years and 6 months)
Paris, France
Data, Robotization, Artificial Intelligence and Software Engineering
∠ Collection and modeling of business needs
∠ Writing specifications
∠ Setting up the database architecture
∠ Automated data collection
∠ Data valorization
∠ Presentation and development of solutions integrating artificial intelligence
∠ Carrying out POCs (Proof-of-Concept)
∠ Building data pipelines (collection/ETL/learning)
∠ Robotization of business processes (RPA)
∠ Developing MVPs (Minimum Viable Product)
∠ Development and testing
∠ Piloting and monitoring the deployment of developed solutions

Some achievements
External:
> Support during the integration of an Odoo-based solution:
Functional part: Needs gathering + business process modeling, etc.
Integration part: Cloud environment preparation + installation and configuration of basic modules + deployment
Training and assistance part
Development and maintenance part: development of specific modules, testing and debugging
Monitoring part: System vitality monitoring
> Development of a real-time construction management and monitoring application:
Workflows
Internal and external progress tracking
Timesheet optimization / intelligent assignment
Dashboards and visualization
> Development of an intelligent recommendation system
Automated collection of open data to enrich the database
Creation of a Django API based on language models and lexical embeddings
> Automation of a production chain:
Contribution to the development of a workflow engine for automating this chain
Development of an application/API that retrieves data, triggers the production process, allows control of certain production criteria, and displays statistics.
This mission was carried out in an international context involving several teams
Internal:
Development of an intelligent application automating the KYC (Know Your Customer) process and aiming to reduce the processing time for bank account opening requests.
Development of a POC/MVP presenting a semantic search engine and an intelligent part that predicts the outcome of a case and quantifies legal risk; this project is intended for legal professionals.
Development of an intelligent application for authorized money transfer agencies. This application contains three main modules: + daily revenue management (business processes and dashboards) + anomaly detection + prediction for decision-making purposes.
Python Django Django Rest Framework Scikit-learn Pandas PostgreSQL JavaScript Bootstrap MySQL jQuery Git Docker docker-compose Plotly Pytorch PySpark Scrapy Pytest Bash Pycharm JIRA Jenkins AWS drf-yasg drf-spectacular Poetry OCR OpenCV odoo Azure Agile Method Scrum DevOps Linode Wagtail Git/Github Github Actions Gitlab CI/CD Vector Embeddings Transformers faiss pre-commit Ubuntu Server HTML/CSS/JS Natural Language Processing (NLP) Machine learning Deep Learning Web Development ERP Integration XML-RPC Xpath Amplify Nginx Gunicorn AWS S3 Airflow Spark
Berger-Levrault
Data Scientist NLP | Python Developer
SOFTWARE PUBLISHING
March 2019 - August 2019 (6 months)
Toulouse, France
Development of an intelligent system for knowledge extraction from textual documents:

∠ Study of the state of the art
∠ Development of a bot automating the document collection process (RPA)
∠ Dataset construction
∠ Implementation of an experimentation plan to identify the most relevant methods and models
∠ Document indexing and implementation of a text search and analysis engine
∠ Semantic analysis of the corpus using embeddings (e.g., Word2Vec, Doc2Vec, GloVe, ELMo, BERT, ...)
∠ Creation of an annotated sample and extraction of named entities using Machine Learning (e.g., SVM, GBM,...) and Deep Learning (LSTM, Bi-LSTM, LSTM-CRF) algorithms
∠ Development of a web application integrating the trained models and writing its technical documentation
∠ Deployment of the application on Amazon Web Service (AWS)
Python Scikit-learn Numpy Pandas Selenium BeautifulSoup Spacy StanfordNLP Nltk Gensim Jupyter Spider flask Whoosh Solr keras Pytorch Gitlab Doccano Docker HTML5 CSS3 Bootstrap JavaScript Bash Ubuntu AWS
LITIS Lab
Data Scientist
RESEARCH
May 2018 - June 2018 (1 month)
Rouen, France
Data Visualization: Study and implementation related to Wasserstein distance

∠ In-depth study of the t-SNE algorithm, considered state-of-the-art in data visualization
∠ Numerical study of the optimal transport problem (Wasserstein distance)
∠ Exploiting the Wasserstein metric for data visualization applications.
Python Pandas Numpy Jupyter POT Scikit-learn Data visualization Machine learning Matplotlib

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Master Data Science and Engineering
INSA Rouen Normandie | Université Rouen Normandie
2019
. Machine Learning . Deep Learning . Optimization . High Performance Computing • Estimation and Decision in Signal Processing . Sparse Coding • Sequential Data Analysis . Graph Analysis • Image Processing • Reinforcement Learning • Medical Image Analysis, . Natural Language Processing . Computer Vision . Information Retrieval . Image Retrieval . Ensemble of Classifiers

Redis for Python Developers
Redis
2022
https://university.redis.com/certificates/f52b6a0be3fe42cb87889cccf56b8f8f
Redis Python
Quantum Machine Learning
University of Toronto (edx, Inc.)
2019
https://courses.edx.org/certificates/afb74638fc694d2299fda7913e82b3a8
Quantum Machine Learning

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Mustapha B.

Software Engineer | Data Scientist Engineer | ERP

About Mustapha

Experience

Data, Robotization, Artificial Intelligence and Software Engineering

Some achievements

External:

Internal:

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