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🌱 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.
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🛫 I keep on learning Data Science, Machine and Deep learning, Cloud computing, and deployment of algorithms into production.
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💞️ 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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🚧 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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📫 How to reach me : I can add you as a collaborator if needed and share my LinkedIn details too. Keep in touch!
- 👩💻 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
- 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.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent