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experience: -is a data scientist with DevOps and Mlops knowledge. -Experienced Data Scientist specializing in client interactions, equipped with cloud engineering expertise. -Has a robust understanding of MLOps principles and NLP techniques in particular. -likes learning new skills, creating and deploying machine learning models and pipelines for NLP, recommender systems, deep learning, im tries to continuously learn new skills. -is Proficient in leveraging the Hugging Face platform for fine-tuning large language models. -has over 20 years experience in data science. -speaks the following languages: french, english and spanish. -has the following technical skills: Python, PyTorch, Spark , Keras ,Bigquery , SQL, Athena, Databricks/Azure, Data Factory, AWS ,S3, GCP , SageMaker , Docker, PowerBI / DAX, Tableau , Google Data Studio ,Looker, Snowflake, Shiny, Roboflow. -able to use large language models to create NLP tasks and chatbots such as this one. -you can find more information about my experience in my github page (https://github.com/thierrydecae). -in working for Deloitte I worked on secondment at Fable Data Ltd, a leading data aggregator and data science company which aims to use machine learning algorithms/NLP and various processes to provide award-winning, real-time datasets to government, central banks, investors and corporate organizations. I was responsible for leading a pod/end to end product development for a Spanish data provider using Azure, Python, Data Factory, Vscode, Neural Networks, NLP, Regex, NER and Git. -in my most recent is experience, I am doing a project for Sky TV Network, I build algorithms for fraud detection. That contract expires early august. -in terms of chatbot experience, I did a short project in february for Neurons Lab Ltd, where I led the team that built a chatbot for the Mutua Madrid Open Tennis. I also built this chatbot of course! |