Lead Data Scientist
• Help the development and deployment of the Data Science solutions end-to-end.
• Hire, manage, mentor and coach a group of high performi...
• Help the development and deployment of the Data Science solutions end-to-end.
• Hire, manage, mentor and coach a group of high performing individuals working in multidisciplinary teams.
• Worked in projects such as:
• Churn analysis
- Gradient boosting (XGBoost and lightgbm)
- Deep Neural Networks (RNN, LSTM)
• Text sentimental analysis
- Deep Neural Networks (RNN, LSTM, Attention)
• Non-contractual churn analysis
- Statistical models such as Pareto/NBD model and Weibull models
• Luig + kubernetes for deployment using Google Cloud
• Docker images creation
• A bit of Dask for processing a high volume of data.
Python
Machine learning
Docker
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Python
Machine learning
Docker
Keras
PyTorch
View more