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tysonjohn015/README.md

👋 About me

  • 🌱 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.

  • 🛫 I keep on learning Data Science, Machine and Deep learning, Cloud computing, and deployment of algorithms into production.

  • 💞️ 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.

  • 👀 I’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.

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

💻 Technical skills

  • 👩‍💻 Programming language(s): Python
  • 🛠️ Development tools : Anaconda and Jupyter Notebook, Google Colaboratory, Visual Studio Code, Github
  • 👩‍🔬 Data Science: pandas, numpy, scikit-learn, tensorflow, keras
  • 📊 Data Viz: matplotlib, seaborn, plotly
  • 💬 👁️‍🗨️ Artificial intelligence : NLP (with Sklearn, NTLK, Spacy, Gensim) and Computer Vision (Classification, Semantic Segmentation)
  • ☁️ Cloud Computing: Microsoft Azure
  • 💭 Basics of Flask and HTML templates

📋 Projets' portfolio

📚 Data Science

🧪 Machine Learning: Supervised / Non Supervised

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

⚙️ 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

☁️ 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

Pinned

  1. P02_AI_Univariate_Data_Analysis P02_AI_Univariate_Data_Analysis Public

    Jupyter Notebook

  2. P03_AI_Multivariate_Data_Analysis P03_AI_Multivariate_Data_Analysis Public

    EDA on Open Food Facts dataset

    Jupyter Notebook 1

  3. P07_AI_Sentiment_Analysis P07_AI_Sentiment_Analysis Public

    Project 07 of Openclassroom

    Jupyter Notebook

  4. P08_AI_Semantic_Segmentation P08_AI_Semantic_Segmentation Public

    project 08

    Jupyter Notebook

  5. P09_AI_recommendation_system P09_AI_recommendation_system Public

    A Mobile App for books and articles recommendation system

    Jupyter Notebook

  6. P10_AI_Azure_Bot_Framework-main P10_AI_Azure_Bot_Framework-main Public

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

    Python