Data Science | Machine and Deep Learning | Data Engineering
Location: France, Paris
Nationality:
French 
Civil Status: Single
Work Status: Open to work
Work Preference: Hybrid Remote On-site
Geographic Mobility: World-wide
Current Position: Energy Manager Data Scientist
French
English
German
Hello, I am actively seeking new opportunities in the Data | Dev sector. My academic journey towards a Master's in Artificial Intelligence and Data Science at IA School has given me a robust foundation in fields such as energy, Building Information Modeling & Management (BIM), as well as Architecture, Engineering, and Construction (AEC). I am deeply passionate about harnessing AI to boost energy efficiency and advance BIM and AEC processes. Although I have not worked directly in the banking and finance sectors, I am eager to bring my data expertise to these industries, aiming to contribute to sustainable and innovative practices. I am open to roles in any field where my data skills can be applied to meet new challenges and drive technological progress.
Master of Science - MS, Artificial Intelligence | Big Data | Data Science (Nov 2023 - Oct 2024)
CourseraProfessional Certificate, Meta Back-End Developer (Jul 2023 - Jul 2023)
Professional Certificate, Database Engineer (Jul 2023 - Jul 2023)
Mathematics for Machine Learning (Nov 2022 - Dec 2022)
Université Paris-Est Marne-la-ValléeBachelor's degree, Civil Engineering – BIM (Building Information Management) (2018 – 2019)
Bachelor's degree, Computer and Information Sciences and Support Services (2017 - 2018)
Bachelor's degree, Mathematics and Computer Science (2016 - 2017)
Datanumia, EDF Group (Oct 2023 - Present)
Energy Management, Energy Transition, DATA Analysis and science: identify optimization opportunities and propose solutions to reduce energy consumption while maintaining comfort and productivity.
Consultant ITAbylsen (Jun 2023 - Present)
Bureau Veritas Group (Mar 2023 - Aug 2023)
Real estate expertise and diagnosis related to the aspects of architecture and civil engineering, security, technical aspects, energy, and sustainability of commercial buildings.
setec nucléaire (Aug 2018 - Jun 2023)
Project: Nuclear Power Plant in UK (HPC HINKLEY POINT C)
A tool to plot numerous addresses and match them with nearby meteorological stations for data collection. It utilizes open-source APIs and trained models for address correction.
The Auto Data Analyzer and Classifier automates data preprocessing, analysis, and classification. It uses advanced machine learning to deliver quick, accurate insights, supporting various data formats. Ideal for research, business, and personal projects, it transforms raw data into actionable information.
Create a static web interface for interacting with PDFs, utilizing Python algorithms with GPT from Hugging Face and LLMs
A standalone python app using a machine learning model trained on over 10,000 CSV files containing various energy consumption data.
A tool capable of handling multiple PDF selections, using GPT and NLP models to identify and extract necessary information from utility bills.
A standalone Python application integrated with a CRM, connecting to multiple websites and databases to display data in real time. It features clickable items, mails automations and various widgets for enhanced data visualization.
An application that automates the filling and submission of forms on websites using APIs.
A simulation project that models the spread of fire in a forest environment using Python and various algorithms.
A web extension that detects fake ads using GPT deep learning for text analysis and computer vision for image detection, developed with JavaScript and Python. (Work in progress ...)
+33768085388
benabderrahmane.ne@gmail.com