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)
