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๐Ÿ‘‹ About me

  • ๐ŸŒฑ I am pursuing an OpenClassrooms training program as Artificial Intelligence Engineer (May 2021 - July 2022), developed in partnership with Microsoft and Centrale Supelec. Details can be found here.

  • ๐Ÿ›ซ I keep on learning Data Science, Machine and Deep learning, Cloud computing, and deployment of algorithms into production.

  • ๐Ÿ’ž๏ธ I'm really interested in problem solving and decision taking with data. My focus is to develop, optimize and reformulate repeatable models to solve challenging and high-value business problems and provide actionable insights.

  • ๐Ÿ‘€ Iโ€™m looking to collaborate on real world or research experience in machine/deep learning and artificial intelligence, to grow as data scientist, ideally, in creation of new capabilities for company's profitability and efficiency, in collaboration with product managers and engineers.

  • ๐Ÿ“ซ How to reach me : I can add you as a collaborator if needed and share my LinkedIn profile details too. Keep in touch!

๐Ÿ’ป Technical skills

  • ๐Ÿ‘ฉโ€๐Ÿ’ป Programming language(s): Python
  • ๐Ÿ› ๏ธ Development tools : Anaconda and Jupyter Notebook, Google Colaboratory, Visual Studio Code, Github
  • ๐Ÿ‘ฉโ€๐Ÿ”ฌ Data Science: pandas, numpy, scikit-learn, tensorflow, keras
  • ๐Ÿ“Š Data Viz: matplotlib, seaborn, plotly
  • ๐Ÿ’ฌ ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ Artificial intelligence : NLP (with Sklearn, NTLK, Spacy, Gensim) and Computer Vision (Classification, Semantic Segmentation)
  • โ˜๏ธ Cloud Computing: Microsoft Azure
  • ๐Ÿ’ญ Basics of Flask and HTML templates

๐Ÿ“‹ Projets' portfolio

๐Ÿ“š Data Science

๐Ÿงช Machine Learning: Supervised / Non Supervised

  • Credit Scoring model: Classification models with imbalanced data
  • Customer Segmentation: Clustering with KMeans

โš™๏ธ Deep Learning : Natural Language Processing (NLP) / Computer Vision (CV)

  • Image Classification and Topic Modeling for a restaurant: Latent Dirichlet Allocation / Convolutional Neural Network
  • Sentiment Analysis to prevent Bad Buzz: Recurrent Neural Network (incl. LSTM) and word embeddings
  • Semantic Segmentation for Autonomous Vehicles

โ˜๏ธ Microsoft Azure

  • 1st Azure Account and Azure Cognitive Services: Language detection
  • Azure Sentiment Analysis: Tweet analysis with Text Analytics
  • Azure Machine Learning Studio - Designer: Tweet Sentiment classification with Logistic regression
  • Deploy a GloVe LSTM model in ACI (Azure Container Instances)
  • Deploy a Flask API to Azure App Service

Tyson's Projects

imgaug icon imgaug

Image augmentation for machine learning experiments.

p10_ai_azure_bot_framework-main icon p10_ai_azure_bot_framework-main

Build chatbot to book flights with Azure Bot Framework SDK (Python), including semantic analysis with Language Understanding (LUIS)

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