Freelancer profile translated to English.
Back to original languageAbout Anas
Need a reliable and fast solution? I specialize in express missions where every hour counts.
I handle:
- Immediate automation with Python (scripts, data extraction, cleaning).
- Urgent troubleshooting (blocking bugs, crashing websites, inaccessible databases).
- Process optimization (reducing processing time, automated reporting).
Why me? Because I deliver quickly and effectively. My clients appreciate my ability to quickly analyze a problem, propose a clear solution, and deliver it without wasting time.
Goal: turn an emergency into a successful mission and give you peace of mind.
French
Native or bilingual
English
Native or bilingual
Spanish
Native or bilingual
Arabic
Native or bilingual
Portuguese
Basic
Can work on-site
Paris (up to 50km)
Experience
- Société Générale MarocData Analyst / AI for Banking FraudBANKING AND INSURANCEMay 2024 - September 2025 (1 year and 4 months)Casablanca, Morocco- Collaborate with the team to develop digital solutions with Advanced Analytics functionalities.- Define data and architecture requirements to develop the solution and ensure its compatibility with the available environment.- Design and develop the machine learning and data mining models necessary for the delivery of the solution defined by the project team.- Study the company's data to define which data will be extracted and processed, in agreement with management's requirements.- Retrieve and analyze relevant data related to the company's production process, sales, or customer data.- Build algorithms to improve search and targeting results.- Develop predictive models to anticipate the evolution of data and trends related to the company's activity.- Model the results of data analysis to make them readable and usable by managers.- Make business recommendations to senior management to improve decision-making. This data interpretation work can also be done through the creation of a specific dashboard and/or custom software analyzing the processed data. The creation of decision-support metrics can have a significant impact on the company's strategy.- Define data storage solutions, in conjunction with the information systems department.- Participate in the recruitment of Big Data experts to complete the data processing team.- Conduct research and development related to processing large volumes of data.
- Projet FAISA – Optimisation énergétique industrielleAI Product DeveloperENERGY AND UTILITIESMarch 2024 - July 2024 (4 months)Paris, France- Development of a web application for energy analysis and optimization for the industrial sector, including asset simulation and decision support.- Implementation of an energy unit conversion system (MWh PCS, steam) with a dynamic dropdown menu.- Design of a thermodynamic validation module with real-time feedback and a load curve based on weighted averages.- Optimization of energy asset purchases by considering hourly variations throughout the year.- Multi-format export (European/American CSV) and enhanced robustness of thermal data processing.- Standardization of data flows between front-end (JavaScript) and back-end (Python/Flask), client-side validation, and complete technical documentation.- Full-stack project focused on data science/AI with real industrial stakes and multidisciplinary teamwork.
- ThalesERP AnalystDEFENSE AND MILITARYMay 2023 - September 2023 (4 months)Villebon-sur-Yvette, France- Participation in the analysis and validation of ERP data in an industrial environment.- Contribution to the extraction, control, and structuring of operational data.- Improvement of reporting readability and internal process monitoring.- Collaboration with business teams to align functional needs and technical constraints.- Use of SQL queries and data analysis tools for consistency checks and operational monitoring.- Involvement in data quality and ERP flow integrity issues.
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Education
- Specialization in AIStanford2023-Apprentissage non supervisé, Recommandateurs, Apprentissage par renforcement- -Algorithmes d’apprentissage avancés -Apprentissage automatique supervisé
- Artificial Intelligence ProgramColumbia Engineering, Data Science Institute2024– Exploration des concepts fondamentaux en intelligence artificielle, apprentissage automatique (ML) et apprentissage profond (DL) via des exercices interactifs low-code/no-code. – Compréhension approfondie des modèles linéaires, des techniques d’optimisation (descente de gradient, méthodes sans gradient), et des fonctions d’activation (ReLU, sigmoid, softmax). – Étude des architectures neuronales modernes : réseaux convolutifs, autoencodeurs, réseaux récurrents (LSTM) et modèles de langage de grande taille (LLM, GPT). – Initiation aux modèles génératifs tels que les GANs et modèles de diffusion, avec applications en génération d’image, complétion de texte, et finance.
Certifications
- Fortinet Certified AssociateIBM2025