Thierry Decae

Experienced client facing Data Scientist/Machine Learning Engineer, equipped with cloud engineering expertise (Azure / Databricks / Synapse / AWS) and a robust understanding of MLOps principles

Capable of creating and deploying machine learning models and pipelines as well as CI/CD for NLP, recommender systems, deep learning, image recognition

Proficient in leveraging Hugging Face or open.ai platforms for fine-tuning large language models (LLMs)

Experienced client facing Data Scientist who has worked with some of the biggest companies in the UK e.g. Deloitte, Webhelp, Huawei, T-Mobile, etc.  Strong DevOps / MLOps knowledge and cloud engineering. Skills include Python, PyTorch, Spark, Keras, Bigquery, SQL, and more. Previous experience includes creating and deploying machine learning models and pipelines for NLP and recommender systems. Proficient in leveraging the Hugging Face platform for fine-tuning large language models. 

I have a diverse educational background and have pursued various training courses throughout my career. Here is a summary of my education and training background:

• MBA Warwick Business School (Distance Learning): Final year dissertation project involved clustering the European Fund Management industry
• Azure Data Factory +Synapse Analytics End to End ETL project / Udemy
• Scala & Functional Programming Essentials / Udemy
• MLOps Machine Learning Operations, Duke University / Coursera
• Snowflake the Complete Masterpiece / Udemy
• Looker and LookML / Udemy
• NLP Specialization through deeplearning.ai / Coursera
• Pytorch for Deep Learning with Python / Udemy
• Spark and Python for Big Data with PySpark / Udemy
• Deep Learning Specialization through deeplearning.ai / Coursera