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π± Iβve 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.
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π« I keep on learning Data Science, Machine and Deep learning, Cloud computing, and deployment of algorithms into production.
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ποΈ 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.
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π§ 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.).
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π« How to reach me : I can add you as a collaborator if needed and share my LinkedIn details too. Keep in touch!
 
- π©βπ» Programming language(s): Python
 - π οΈ Development tools : Jupyter Notebook (Anaconda), Google Colaboratory, Visual Studio Code, Github
 - π©βπ¬ Data Science: pandas, numpy, scikit-learn, tensorflow, keras
 - π Data Viz: matplotlib, seaborn, plotly
 - π¬ ποΈβπ¨οΈ Artificial intelligence : NLP (with Sklearn, NTLK, Spacy, Gensim) and Computer Vision (Classification, Semantic Segmentation)
 - βοΈ Cloud Computing: Microsoft Azure
 - π Basics of Flask and HTML templates
 - ποΈ Database : PostgreSQL
 
- Trees of Paris City: Univariate Data Analysis
 - Open Food Facts: Mutivariate Data Analysis
 
- Credit Scoring model: Classification models with imbalanced data
 - Customer Segmentation: Clustering with KMeans
 
- 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
 
- 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.