👋 About me

• 🌱 I’ve completed an OpenClassrooms training program as Artificial Intelligence Engineer (July 2020 - December 2021), 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 love working in a cross-functional environment, to collaborate with different teams on all data-related topics (data management, data engineering, data science, etc.).

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

💻 Technical skills

• 👩‍💻 Programming language(s): Python
• 🛠️ Development tools : Jupyter Notebook (Anaconda), 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
• 🗃️ Database : PostgreSQL

📋 Projets' portfolio

📚 Data Science

• Trees of Paris City: Univariate Data Analysis
• Open Food Facts: Mutivariate Data Analysis

🧪 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
• Recommendations Systems in Mobile App
• Chabot to book flights

☁️ 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) and publish endpoint
• Develop and Deploy Azure Functions with Visual Studio Code
• Deploy a Flask API to Azure App Service
• Use LUIS (Language Understanding), Bot Framework SDK, App Insights and Azure App Service to develop a chatbot.

⚖️ Awareness on GDPR, Bias and ethical AI

• Manage AI project
• Responsible AI resources