Apprentice

💼 Career

👨‍🔬 EDF R&D - Data Scientist Location: Palaiseau, France Dates: 09/2019 - 01/2024 Skills: NLP, Image Recognition, Data Cleaning and Analysis, Anomaly Detection, DevOps Recommandation : José Lopes, Manager at EDF R&D, Paris-Saclay Projects: Development of LLMs + QAretrieval with embeddings to build a conversational question-answer agent using research articles. (Langchain, Transformers, Gradio) Development of an NLP model to process texts entered in a form, distribute them and automatically pre-fill in the appropriate fields. (Sentence Transformers, Nltk, Regex) Anomaly detection on images of BT equipment, with a paper published in an international conference. MAP score of 87%. (Yolov5, Opencv, Pytorch) Reliability study and anomaly detection on energy storage systems. (Reliability, Tslearn, Pycox) Creation of a digital twin for the EDF information system. (Elasticsearch, Reliability) Anomaly detection for predictive maintenance from aerial HTA network images using a convolutional neural network. (Opencv, Pytorch, Yolov3) Prediction of the number of customer outages during storms. (Scikit-learn) Prediction of incidents in the distribution network during storms through the integration of machine learning models and reliability models. (R, Pycox) 🛠️ ENEDIS - Engineering Apprentice Location: Angers, France Dates: 10/2018 - 09/2019 Skills: Data Analysis, VBA, Portfolio Management, Unsupervised Learning Projects: Automation of the portfolio management of a BERE BT and associated data visualization. (VBA) Data analysis for machine learning to anticipate outages in smart networks. (R, EDA : Exploratory Data Analysis) Investigation of electrical voltage drops using unsupervised learning. (R, Clustering)

AWS

Education

🎓 CentraleSupélec / Université Paris-Saclay (2018-2021) Grande Ecole of Engineering, Rennes / Paris Saclay, France Specializations: Machine Learning, Computer Vision, Software Engineering, Economy/Finance 🏆 Lycée Georges Cabanis (2016-2018) Preparatory classes for engineering schools (CPGE), Brive la Gaillarde, France Awarded with High Honors. Ranked 16th/1250 (Top 1.3%) 📚 El Farabi High School (2015-2016) Scientific Baccalaureate, Salé, Morocco High Honors. Ranked 30th in the country. 3rd in my region. 🌐 Languages French: Bilingual English: Fluent Arabic: Native Speaker ✅ Certifications Solutions Architect, Amazon Web Services (AWS) - Udemy (In Progress) Deep Learning Specialization - Coursera 🎖️ Awards & Achievements Awarded a Scholarship of Excellence by OCP and the Moroccan government for succeeding in French competitive exams. Scholar of Lycée Georges Cabanis for being the top student in the class.

CentraleSupélec

Education

🎓 CentraleSupélec / Université Paris-Saclay (2018-2021) Grande Ecole of Engineering, Rennes / Paris Saclay, France Specializations: Machine Learning, Computer Vision, Software Engineering, Economy/Finance 🏆 Lycée Georges Cabanis (2016-2018) Preparatory classes for engineering schools (CPGE), Brive la Gaillarde, France Awarded with High Honors. Ranked 16th/1250 (Top 1.3%) 📚 El Farabi High School (2015-2016) Scientific Baccalaureate, Salé, Morocco High Honors. Ranked 30th in the country. 3rd in my region. 🌐 Languages French: Bilingual English: Fluent Arabic: Native Speaker ✅ Certifications Solutions Architect, Amazon Web Services (AWS) - Udemy (In Progress) Deep Learning Specialization - Coursera 🎖️ Awards & Achievements Awarded a Scholarship of Excellence by OCP and the Moroccan government for succeeding in French competitive exams. Scholar of Lycée Georges Cabanis for being the top student in the class.

About Me

Conference Presented a comprehensive study on state-of-the-art Image Recognition applied to low-voltage equipment at CIRED 2023, Rome, Italy. Resources available: Article | Poster | Presentation. Graduation This graduation ceremony stands as a proud testament to perseverance and achievement. It marks the transition from student life to the next chapter of professional aspirations. Hobbies Walking: Engaging in long walks while listening to long-format podcasts. Technology Enthusiast: Always at the forefront of the latest technological trends and innovations. Web3: Keeping track of advancements in the world of decentralized web. 📜 Recommendations José Lopes: Manager at EDF R&D, Paris-Saclay William Lair : Head of Enedis Lab Picardie 📂 Additional Documents Resume Cover Letter 📬 Let’s Connect! Feel free to reach out via email for potential freelance collaborations ! Email: mohcineelharras@hotmail.com 📧

Contact

About Me

Conference Presented a comprehensive study on state-of-the-art Image Recognition applied to low-voltage equipment at CIRED 2023, Rome, Italy. Resources available: Article | Poster | Presentation. Graduation This graduation ceremony stands as a proud testament to perseverance and achievement. It marks the transition from student life to the next chapter of professional aspirations. Hobbies Walking: Engaging in long walks while listening to long-format podcasts. Technology Enthusiast: Always at the forefront of the latest technological trends and innovations. Web3: Keeping track of advancements in the world of decentralized web. 📜 Recommendations José Lopes: Manager at EDF R&D, Paris-Saclay William Lair : Head of Enedis Lab Picardie 📂 Additional Documents Resume Cover Letter 📬 Let’s Connect! Feel free to reach out via email for potential freelance collaborations ! Email: mohcineelharras@hotmail.com 📧

Data Engineering

💼 Career

👨‍🔬 EDF R&D - Data Scientist Location: Palaiseau, France Dates: 09/2019 - 01/2024 Skills: NLP, Image Recognition, Data Cleaning and Analysis, Anomaly Detection, DevOps Recommandation : José Lopes, Manager at EDF R&D, Paris-Saclay Projects: Development of LLMs + QAretrieval with embeddings to build a conversational question-answer agent using research articles. (Langchain, Transformers, Gradio) Development of an NLP model to process texts entered in a form, distribute them and automatically pre-fill in the appropriate fields. (Sentence Transformers, Nltk, Regex) Anomaly detection on images of BT equipment, with a paper published in an international conference. MAP score of 87%. (Yolov5, Opencv, Pytorch) Reliability study and anomaly detection on energy storage systems. (Reliability, Tslearn, Pycox) Creation of a digital twin for the EDF information system. (Elasticsearch, Reliability) Anomaly detection for predictive maintenance from aerial HTA network images using a convolutional neural network. (Opencv, Pytorch, Yolov3) Prediction of the number of customer outages during storms. (Scikit-learn) Prediction of incidents in the distribution network during storms through the integration of machine learning models and reliability models. (R, Pycox) 🛠️ ENEDIS - Engineering Apprentice Location: Angers, France Dates: 10/2018 - 09/2019 Skills: Data Analysis, VBA, Portfolio Management, Unsupervised Learning Projects: Automation of the portfolio management of a BERE BT and associated data visualization. (VBA) Data analysis for machine learning to anticipate outages in smart networks. (R, EDA : Exploratory Data Analysis) Investigation of electrical voltage drops using unsupervised learning. (R, Clustering)

💡 Key Skills

Data Science & Machine Learning Machine Learning (Sklearn) NLP & Generative AI (Transformers, Spacy, NLTK) Computer Vision (TensorFlow, PyTorch, Transformers) Data Visualization (Dash, Gradio, Streamlit, Plotly, Seaborn, Kibana) Python Development (FastAPI, Django) Data Engineering Elasticsearch: Full-text Search and Analytics at Scale Airflow: Workflow Automation and Data Pipeline Management SQL: Database Management and Query Optimization DevOps & Cloud Computing Linux and Bash: Setting up virtual machines and more Git: Versioning, CI/CD, and Collaborative Work AWS: Cloud Computing and Cloud Storage SonarQube CI/CD: Industrialization of IT tools Docker: Containerization of industrial projects Docker-Compose: Container orchestration

DevOps

💼 Career

👨‍🔬 EDF R&D - Data Scientist Location: Palaiseau, France Dates: 09/2019 - 01/2024 Skills: NLP, Image Recognition, Data Cleaning and Analysis, Anomaly Detection, DevOps Recommandation : José Lopes, Manager at EDF R&D, Paris-Saclay Projects: Development of LLMs + QAretrieval with embeddings to build a conversational question-answer agent using research articles. (Langchain, Transformers, Gradio) Development of an NLP model to process texts entered in a form, distribute them and automatically pre-fill in the appropriate fields. (Sentence Transformers, Nltk, Regex) Anomaly detection on images of BT equipment, with a paper published in an international conference. MAP score of 87%. (Yolov5, Opencv, Pytorch) Reliability study and anomaly detection on energy storage systems. (Reliability, Tslearn, Pycox) Creation of a digital twin for the EDF information system. (Elasticsearch, Reliability) Anomaly detection for predictive maintenance from aerial HTA network images using a convolutional neural network. (Opencv, Pytorch, Yolov3) Prediction of the number of customer outages during storms. (Scikit-learn) Prediction of incidents in the distribution network during storms through the integration of machine learning models and reliability models. (R, Pycox) 🛠️ ENEDIS - Engineering Apprentice Location: Angers, France Dates: 10/2018 - 09/2019 Skills: Data Analysis, VBA, Portfolio Management, Unsupervised Learning Projects: Automation of the portfolio management of a BERE BT and associated data visualization. (VBA) Data analysis for machine learning to anticipate outages in smart networks. (R, EDA : Exploratory Data Analysis) Investigation of electrical voltage drops using unsupervised learning. (R, Clustering)

💡 Key Skills

Data Science & Machine Learning Machine Learning (Sklearn) NLP & Generative AI (Transformers, Spacy, NLTK) Computer Vision (TensorFlow, PyTorch, Transformers) Data Visualization (Dash, Gradio, Streamlit, Plotly, Seaborn, Kibana) Python Development (FastAPI, Django) Data Engineering Elasticsearch: Full-text Search and Analytics at Scale Airflow: Workflow Automation and Data Pipeline Management SQL: Database Management and Query Optimization DevOps & Cloud Computing Linux and Bash: Setting up virtual machines and more Git: Versioning, CI/CD, and Collaborative Work AWS: Cloud Computing and Cloud Storage SonarQube CI/CD: Industrialization of IT tools Docker: Containerization of industrial projects Docker-Compose: Container orchestration

Diplome

Education

🎓 CentraleSupélec / Université Paris-Saclay (2018-2021) Grande Ecole of Engineering, Rennes / Paris Saclay, France Specializations: Machine Learning, Computer Vision, Software Engineering, Economy/Finance 🏆 Lycée Georges Cabanis (2016-2018) Preparatory classes for engineering schools (CPGE), Brive la Gaillarde, France Awarded with High Honors. Ranked 16th/1250 (Top 1.3%) 📚 El Farabi High School (2015-2016) Scientific Baccalaureate, Salé, Morocco High Honors. Ranked 30th in the country. 3rd in my region. 🌐 Languages French: Bilingual English: Fluent Arabic: Native Speaker ✅ Certifications Solutions Architect, Amazon Web Services (AWS) - Udemy (In Progress) Deep Learning Specialization - Coursera 🎖️ Awards & Achievements Awarded a Scholarship of Excellence by OCP and the Moroccan government for succeeding in French competitive exams. Scholar of Lycée Georges Cabanis for being the top student in the class.

About Me

Conference Presented a comprehensive study on state-of-the-art Image Recognition applied to low-voltage equipment at CIRED 2023, Rome, Italy. Resources available: Article | Poster | Presentation. Graduation This graduation ceremony stands as a proud testament to perseverance and achievement. It marks the transition from student life to the next chapter of professional aspirations. Hobbies Walking: Engaging in long walks while listening to long-format podcasts. Technology Enthusiast: Always at the forefront of the latest technological trends and innovations. Web3: Keeping track of advancements in the world of decentralized web. 📜 Recommendations José Lopes: Manager at EDF R&D, Paris-Saclay William Lair : Head of Enedis Lab Picardie 📂 Additional Documents Resume Cover Letter 📬 Let’s Connect! Feel free to reach out via email for potential freelance collaborations ! Email: mohcineelharras@hotmail.com 📧

EDF

💼 Career

👨‍🔬 EDF R&D - Data Scientist Location: Palaiseau, France Dates: 09/2019 - 01/2024 Skills: NLP, Image Recognition, Data Cleaning and Analysis, Anomaly Detection, DevOps Recommandation : José Lopes, Manager at EDF R&D, Paris-Saclay Projects: Development of LLMs + QAretrieval with embeddings to build a conversational question-answer agent using research articles. (Langchain, Transformers, Gradio) Development of an NLP model to process texts entered in a form, distribute them and automatically pre-fill in the appropriate fields. (Sentence Transformers, Nltk, Regex) Anomaly detection on images of BT equipment, with a paper published in an international conference. MAP score of 87%. (Yolov5, Opencv, Pytorch) Reliability study and anomaly detection on energy storage systems. (Reliability, Tslearn, Pycox) Creation of a digital twin for the EDF information system. (Elasticsearch, Reliability) Anomaly detection for predictive maintenance from aerial HTA network images using a convolutional neural network. (Opencv, Pytorch, Yolov3) Prediction of the number of customer outages during storms. (Scikit-learn) Prediction of incidents in the distribution network during storms through the integration of machine learning models and reliability models. (R, Pycox) 🛠️ ENEDIS - Engineering Apprentice Location: Angers, France Dates: 10/2018 - 09/2019 Skills: Data Analysis, VBA, Portfolio Management, Unsupervised Learning Projects: Automation of the portfolio management of a BERE BT and associated data visualization. (VBA) Data analysis for machine learning to anticipate outages in smart networks. (R, EDA : Exploratory Data Analysis) Investigation of electrical voltage drops using unsupervised learning. (R, Clustering)

About Me

Conference Presented a comprehensive study on state-of-the-art Image Recognition applied to low-voltage equipment at CIRED 2023, Rome, Italy. Resources available: Article | Poster | Presentation. Graduation This graduation ceremony stands as a proud testament to perseverance and achievement. It marks the transition from student life to the next chapter of professional aspirations. Hobbies Walking: Engaging in long walks while listening to long-format podcasts. Technology Enthusiast: Always at the forefront of the latest technological trends and innovations. Web3: Keeping track of advancements in the world of decentralized web. 📜 Recommendations José Lopes: Manager at EDF R&D, Paris-Saclay William Lair : Head of Enedis Lab Picardie 📂 Additional Documents Resume Cover Letter 📬 Let’s Connect! Feel free to reach out via email for potential freelance collaborations ! Email: mohcineelharras@hotmail.com 📧

ENEDIS

💼 Career

👨‍🔬 EDF R&D - Data Scientist Location: Palaiseau, France Dates: 09/2019 - 01/2024 Skills: NLP, Image Recognition, Data Cleaning and Analysis, Anomaly Detection, DevOps Recommandation : José Lopes, Manager at EDF R&D, Paris-Saclay Projects: Development of LLMs + QAretrieval with embeddings to build a conversational question-answer agent using research articles. (Langchain, Transformers, Gradio) Development of an NLP model to process texts entered in a form, distribute them and automatically pre-fill in the appropriate fields. (Sentence Transformers, Nltk, Regex) Anomaly detection on images of BT equipment, with a paper published in an international conference. MAP score of 87%. (Yolov5, Opencv, Pytorch) Reliability study and anomaly detection on energy storage systems. (Reliability, Tslearn, Pycox) Creation of a digital twin for the EDF information system. (Elasticsearch, Reliability) Anomaly detection for predictive maintenance from aerial HTA network images using a convolutional neural network. (Opencv, Pytorch, Yolov3) Prediction of the number of customer outages during storms. (Scikit-learn) Prediction of incidents in the distribution network during storms through the integration of machine learning models and reliability models. (R, Pycox) 🛠️ ENEDIS - Engineering Apprentice Location: Angers, France Dates: 10/2018 - 09/2019 Skills: Data Analysis, VBA, Portfolio Management, Unsupervised Learning Projects: Automation of the portfolio management of a BERE BT and associated data visualization. (VBA) Data analysis for machine learning to anticipate outages in smart networks. (R, EDA : Exploratory Data Analysis) Investigation of electrical voltage drops using unsupervised learning. (R, Clustering)

HF_spaces

💡 Key Skills

Data Science & Machine Learning Machine Learning (Sklearn) NLP & Generative AI (Transformers, Spacy, NLTK) Computer Vision (TensorFlow, PyTorch, Transformers) Data Visualization (Dash, Gradio, Streamlit, Plotly, Seaborn, Kibana) Python Development (FastAPI, Django) Data Engineering Elasticsearch: Full-text Search and Analytics at Scale Airflow: Workflow Automation and Data Pipeline Management SQL: Database Management and Query Optimization DevOps & Cloud Computing Linux and Bash: Setting up virtual machines and more Git: Versioning, CI/CD, and Collaborative Work AWS: Cloud Computing and Cloud Storage SonarQube CI/CD: Industrialization of IT tools Docker: Containerization of industrial projects Docker-Compose: Container orchestration

Personal Projects

Whisper-LLM-gTTS Description: A voice AI application integrating Text-to-Speech, Speech-to-Text, and Local Language Model technologies for an intuitive and secure offline interface. Skills Needed: AI, Voice Recognition, Software Development Tools & Libraries Used: OpenAI’s Whisper, Google’s TTS, PyTorch, FastAPI, Docker Links: GitHub | Demo RAG QA with LLMs Locally using Llama-index Description: A local application leveraging LLMs for text generation and database interaction, emphasizing secure data handling. Skills Needed: NLP, Data Engineering, Web Development Tools & Libraries Used: Streamlit, OpenAI’s Whisper, LM Studio, SQLite Links: GitHub | Demo Autogen Experiments for Coding Description: A software development process simulation fostering collaboration among agents, powered by Autogen and text generation technologies. Skills Needed: Full Stack Development, Machine Learning, Dockerization Tools & Libraries Used: Autogen, Dolphin-2.2.1-Mistral Model, UML Diagrams, Bash Links: GitHub Dashboard for Analyzing Data of Transaction in Web3 Description: Interface for tracking cryptocurrency whale transactions using Etherscan’s API, Airflow, and a custom UI. Skills Needed: API Integration, Data Visualization, Full Stack Development Tools & Libraries Used: Etherscan API, Airflow, Docker, Uvicorn Links: GitHub | Demo Mask Detection Description: Real-time face mask detection system developed during the COVID-19 crisis using machine learning and image processing techniques. Skills Needed: Computer Vision, Machine Learning, Software Development Tools & Libraries Used: YOLOv3, TensorFlow, Keras Links: GitHub

Machine learning

💼 Career

👨‍🔬 EDF R&D - Data Scientist Location: Palaiseau, France Dates: 09/2019 - 01/2024 Skills: NLP, Image Recognition, Data Cleaning and Analysis, Anomaly Detection, DevOps Recommandation : José Lopes, Manager at EDF R&D, Paris-Saclay Projects: Development of LLMs + QAretrieval with embeddings to build a conversational question-answer agent using research articles. (Langchain, Transformers, Gradio) Development of an NLP model to process texts entered in a form, distribute them and automatically pre-fill in the appropriate fields. (Sentence Transformers, Nltk, Regex) Anomaly detection on images of BT equipment, with a paper published in an international conference. MAP score of 87%. (Yolov5, Opencv, Pytorch) Reliability study and anomaly detection on energy storage systems. (Reliability, Tslearn, Pycox) Creation of a digital twin for the EDF information system. (Elasticsearch, Reliability) Anomaly detection for predictive maintenance from aerial HTA network images using a convolutional neural network. (Opencv, Pytorch, Yolov3) Prediction of the number of customer outages during storms. (Scikit-learn) Prediction of incidents in the distribution network during storms through the integration of machine learning models and reliability models. (R, Pycox) 🛠️ ENEDIS - Engineering Apprentice Location: Angers, France Dates: 10/2018 - 09/2019 Skills: Data Analysis, VBA, Portfolio Management, Unsupervised Learning Projects: Automation of the portfolio management of a BERE BT and associated data visualization. (VBA) Data analysis for machine learning to anticipate outages in smart networks. (R, EDA : Exploratory Data Analysis) Investigation of electrical voltage drops using unsupervised learning. (R, Clustering)

Education

🎓 CentraleSupélec / Université Paris-Saclay (2018-2021) Grande Ecole of Engineering, Rennes / Paris Saclay, France Specializations: Machine Learning, Computer Vision, Software Engineering, Economy/Finance 🏆 Lycée Georges Cabanis (2016-2018) Preparatory classes for engineering schools (CPGE), Brive la Gaillarde, France Awarded with High Honors. Ranked 16th/1250 (Top 1.3%) 📚 El Farabi High School (2015-2016) Scientific Baccalaureate, Salé, Morocco High Honors. Ranked 30th in the country. 3rd in my region. 🌐 Languages French: Bilingual English: Fluent Arabic: Native Speaker ✅ Certifications Solutions Architect, Amazon Web Services (AWS) - Udemy (In Progress) Deep Learning Specialization - Coursera 🎖️ Awards & Achievements Awarded a Scholarship of Excellence by OCP and the Moroccan government for succeeding in French competitive exams. Scholar of Lycée Georges Cabanis for being the top student in the class.

💡 Key Skills

Data Science & Machine Learning Machine Learning (Sklearn) NLP & Generative AI (Transformers, Spacy, NLTK) Computer Vision (TensorFlow, PyTorch, Transformers) Data Visualization (Dash, Gradio, Streamlit, Plotly, Seaborn, Kibana) Python Development (FastAPI, Django) Data Engineering Elasticsearch: Full-text Search and Analytics at Scale Airflow: Workflow Automation and Data Pipeline Management SQL: Database Management and Query Optimization DevOps & Cloud Computing Linux and Bash: Setting up virtual machines and more Git: Versioning, CI/CD, and Collaborative Work AWS: Cloud Computing and Cloud Storage SonarQube CI/CD: Industrialization of IT tools Docker: Containerization of industrial projects Docker-Compose: Container orchestration

Projects

💡 Key Skills

Data Science & Machine Learning Machine Learning (Sklearn) NLP & Generative AI (Transformers, Spacy, NLTK) Computer Vision (TensorFlow, PyTorch, Transformers) Data Visualization (Dash, Gradio, Streamlit, Plotly, Seaborn, Kibana) Python Development (FastAPI, Django) Data Engineering Elasticsearch: Full-text Search and Analytics at Scale Airflow: Workflow Automation and Data Pipeline Management SQL: Database Management and Query Optimization DevOps & Cloud Computing Linux and Bash: Setting up virtual machines and more Git: Versioning, CI/CD, and Collaborative Work AWS: Cloud Computing and Cloud Storage SonarQube CI/CD: Industrialization of IT tools Docker: Containerization of industrial projects Docker-Compose: Container orchestration

Personal Projects

Whisper-LLM-gTTS Description: A voice AI application integrating Text-to-Speech, Speech-to-Text, and Local Language Model technologies for an intuitive and secure offline interface. Skills Needed: AI, Voice Recognition, Software Development Tools & Libraries Used: OpenAI’s Whisper, Google’s TTS, PyTorch, FastAPI, Docker Links: GitHub | Demo RAG QA with LLMs Locally using Llama-index Description: A local application leveraging LLMs for text generation and database interaction, emphasizing secure data handling. Skills Needed: NLP, Data Engineering, Web Development Tools & Libraries Used: Streamlit, OpenAI’s Whisper, LM Studio, SQLite Links: GitHub | Demo Autogen Experiments for Coding Description: A software development process simulation fostering collaboration among agents, powered by Autogen and text generation technologies. Skills Needed: Full Stack Development, Machine Learning, Dockerization Tools & Libraries Used: Autogen, Dolphin-2.2.1-Mistral Model, UML Diagrams, Bash Links: GitHub Dashboard for Analyzing Data of Transaction in Web3 Description: Interface for tracking cryptocurrency whale transactions using Etherscan’s API, Airflow, and a custom UI. Skills Needed: API Integration, Data Visualization, Full Stack Development Tools & Libraries Used: Etherscan API, Airflow, Docker, Uvicorn Links: GitHub | Demo Mask Detection Description: Real-time face mask detection system developed during the COVID-19 crisis using machine learning and image processing techniques. Skills Needed: Computer Vision, Machine Learning, Software Development Tools & Libraries Used: YOLOv3, TensorFlow, Keras Links: GitHub