Experience

SYFADIS

• France
• Software Development
• 1 - 100 Employee

• Chief Data Scientist/Lead Data Scientist

  • Sep 2023 - Present

  •Conduct state of art, define road map •Develop and deploy a new end-to-end AI pipeline for adaptive learning and predictive learning •Developed a new explainable AI model which provides explainable recommandations for e-learners instead of black boxes such as existing machine learning and deep learning models •Apply and adapt Generative AI and GPT to optimize existing learning system. •Develop End-to-end AI process, including analyzing business problems, identifying relevant data sources, optimizing source data, model testing and refinement, and visualization Show less



ACTIVUS Group

• France
• Information Technology & Services
• 1 - 100 Employee

• Director Of Data Science, Lead Data Scientist

  • Mar 2022 - Sep 2023

  Director of Research Development •Redact CIR (research tax credit) •Develop new graph neural network(GNN) for node predcition in dyanmic graph •Manager of 3 data science teams (composed of PHD, data scientist, data engineer and interns) •Supervise phd students in IA, i.e. graph mining, knowledge graphe, time series, spatio temporal data analysis, anomaly detection etc. •Redact research reports for entreprise and publish papers in international conferences and journals. •Collaborate with laboratory IRIT(Institut de recherche en informatique de Toulouse) and ENAC (Ecole •Evaluations of formation of data scientists •Conduct state of art, define road map. •Recruitment •Apply to different calls for tenders •Financial management (price, time, risk, delay, quality) AI and Data Architect •Develop and deploy a new end-to-end AI pipeline to improve the precision and the efficiency of AI models. Developed AI model is more precise than existing AI models for text classification. •Developed a new explainable AI model which extracts explainable rules for multi-classifications tasks instead of black boxes such as existing machine learning and deep learning models •Develop End-to-end AI process, including analyzing business problems, identifying relevant data sources, optimizing source data, model testing and refinement, and visualization Show less



Sogeti

• France
• IT Services and IT Consulting
• 700 & Above Employee

• Tech Lead & Lead Data Scientist

  • Apr 2020 - Mar 2022

  • Lead research efforts in developing new computer vision/deep learning algorithms for object recognition and automatic object counting in very complex enviroment (overlaps, extreme light conditiions, shadows etc.) • Solve a variety of technical challenges and mentor other engineers • Adapt existing computer vision and machine learning algorithms to solve problems • Develop End-to-end machine learning process, including analyzing business problems, identifying relevant data sources, optimizing source data, model testing and refinement, and visualization Key words: Computer Vision, Deep Learning, Generative adversarial network, convolutional neural network, Tensorflow, Python etc. Show less



Airbus

• Aviation & Aerospace
• 1 - 100 Employee

• Senior Data Scientist/ Lead Data Scientist (mission)

  • Sep 2019 - May 2020

  Develop efficient AI algorithms to construct and modelize Knowledge Graph for Red Data, A350 and A320 in Airbus (Skywise). •Construct models for Bill of Materials and Product Structure for A320 and A350 •Improve largely the performance of existing Airbus Models, Propose new solutions to improve the performance, which is 1 million less complex than the existing models and 30 times faster in terms of execution time. •Develop efficient machine learning algorithm to extract meaningful information from knowledge graph. • Develop different kind of data visualizations. ✓ Red data, BOM, Product Structure, Data modeling, PySpark, Data science, machine learning, NoSQL, relational graph database. Data visualization, Python Show less

• Senior Data Scientist/ Lead data scientist

  • Jun 2019 - Sep 2019

  Project "Smart Farming": Develop and optimize deep learning algorithms for object recognition and automatic object counting in very complex enviroment (overlapping, very low contrast background). •Propose new strategies to improve predictive model, preprocessing and post treatement steps for object counting/recoginition. •Succeed in increasing mean precision for object counting/recognitionin in very complex environment, from 65% to more than 97%. Keywords: Deep learning, Computer Vision, LSTM, RNN, CNN, Tensorflow, Keras. Python. Show less



MyDataModels, the Automated Machine Learning Company

• Data Scientist

  • Sep 2018 - Jun 2019

  Develop and optimize machine learning and genetic algorithms to real-life use-cases. Provide actionable insights to the business. •Develop state of art of machine learning and genetic algorithms •Succeed in developping and optimizing algorithms (C++,Python) for regression, binary classification and multi class tasks before deadline. •Propose new matematic formulas to optimize accuracy of predictive models (multi-class classification) and succeed in increasing 20% in terms of mean accuracy . •Analyze complicated datasets (unbalanced data, small data, high dimensional data, large unstructured data) and diverse datasets (Health data, bank data, energy data etc.) •Edit document for algorithms, workflows, data analysis report, benchmark, optimization of hyperparameters, feature engineering etc. (150 pages in English) Key words: C++, Python, machine learning, statistical learning, random forest, ensemble learning, genetic algorithm, regression, esprit startup Show less



Institute of Pure and Applied Sciences

• Türkiye
• Higher Education
• 1 - 100 Employee

• Research Fellow (data mining and machine learning)

  • Apr 2018 - Oct 2018

  machine learning, deep learing, sequential modeling, graph modeling, development of predictive models, new data mining algorithms, machine learning algorithms and clustering methods to analysis large complex datasets Key words: Data mining, machine learning, deep learning, predictive model, spatio- temporal data, K-means, clustering, R, C++, Python, Tableau machine learning, deep learing, sequential modeling, graph modeling, development of predictive models, new data mining algorithms, machine learning algorithms and clustering methods to analysis large complex datasets Key words: Data mining, machine learning, deep learning, predictive model, spatio- temporal data, K-means, clustering, R, C++, Python, Tableau



University of New Caledonia

• PHD: (data mining and machine learning)

  • Nov 2014 - Apr 2018

  This PhD focuses on IA, data science, machine learning, data mining, development of predictive models, new data mining algorithms and machine learning algorithms to analysis large complex datasets, such as time series and spatio-temporal data. Main duties: •Conducting data exploration, analysis and transformation to facilitate favourable data mining outcomes •Undertaking data mining and machine learning research and experimental development projects particularly pediction, risk analysis, sequence clustering, time series clustering •Deploying, building, maintaining data mining models and tools •Develop supervised machine learning methods and define new similarity measures to classify objects. •Writing and reviewing research papers and technical reports Key words: Data mining, machine learning, deep learing, statistical model. temporal data, spatio- temporal data, image processing, data visualization, Tableau, C++, C, Python, Pyspark Show less



PRISME-Laboratory

• United States
• Hospitals and Health Care

• Research Engineer (medical image, 3D image)

  • Apr 2014 - Oct 2014

  Develop new methods of image proccesing to optimize the visual registration of 3D dental arcades which is developed in the thesis of R.Destrez. C++, VTK, OpenGL, Visual Studio, Matlab Key words: medical image, 3D image Develop new methods of image proccesing to optimize the visual registration of 3D dental arcades which is developed in the thesis of R.Destrez. C++, VTK, OpenGL, Visual Studio, Matlab Key words: medical image, 3D image



Zhongwei Data System Technology Co,Ltd (China)

• Data Scientist

  • May 2013 - Oct 2013

  Analyze flight data, identify and predict significant unsafe events based on machine learning and data mining algorithms. Conducting data exploration, analysis and transformation to facilitate favourable data mining outcomes Communication of insights and trends, both verbal and written, to support evidence-based decision making and planning. Detect multi targets under dynamic and complicated background. C++, R, Python, Matlab, Tableau, Key words: data mining, machine learning, statistical analyse Show less



PSIME-Laboratory

• United States
• Hospitals and Health Care

• Machine Learning Engineer Intern

  • Sep 2012 - Feb 2013

  Facial expression recognition Research and create the methods to detect and segment face, deal with the images of different faces and realize the facial expression recognition on Smartphone Java, C++, Opencv, Eclipse Key words: Machine learning, Facial expression recognition, image processing, video processing Facial expression recognition Research and create the methods to detect and segment face, deal with the images of different faces and realize the facial expression recognition on Smartphone Java, C++, Opencv, Eclipse Key words: Machine learning, Facial expression recognition, image processing, video processing



Shanghai Qingfang Environmental Technology Co. , Ltd

• Data Scientist

  • Jul 2010 - Sep 2010

  Environmental data analysis Key words: machine learning, data analysis, time series Environmental data analysis Key words: machine learning, data analysis, time series



Beijing University of Chemical Technology

• China
• Education Administration Programs
• 200 - 300 Employee

• Data Scientist

  • Mar 2009 - Jul 2009

  Database design on student management system Key words: Database, SQL Database design on student management system Key words: Database, SQL