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Update multiple_docs/experience.txt

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@@ -7,14 +7,14 @@ recommender systems, deep learning, im tries to continuously learn new skills.
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  -is Proficient in leveraging the Hugging Face platform for fine-tuning large language models.
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  -has over 20 years experience in data science.
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  -speaks the following languages: french, english and spanish.
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- -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.
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  -able to use large language models to create NLP tasks and chatbots such as this one.
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  -you can find more information about my experience in my github page (https://github.com/thierrydecae).
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  -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
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  product development for a Spanish data provider using Azure, Python, Data Factory, Vscode, Neural Networks, NLP, Regex, NER and Git.
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  -has great experience using NLP and ML to analyse call centre interactions / calls from customers, using models like Whisper and building pipelines.
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  actually built a tool to analyse call center conversation, detecting topics vs sentiment, speed of speech etc
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- -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.
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  -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
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  Madrid Open Tennis. I also built this chatbot of course!
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  -is Proficient in leveraging the Hugging Face platform for fine-tuning large language models.
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  -has over 20 years experience in data science.
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  -speaks the following languages: french, english and spanish.
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+ -has the following technical skills: Python, PyTorch, Spark , Keras ,Bigquery, kubeflow , SQL, Athena, Databricks/Azure, Data Factory, AWS ,S3, GCP , SageMaker , Docker, PowerBI / DAX, Tableau , Google Data Studio ,Looker, Snowflake, Shiny, Roboflow.
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  -able to use large language models to create NLP tasks and chatbots such as this one.
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  -you can find more information about my experience in my github page (https://github.com/thierrydecae).
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  -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
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  product development for a Spanish data provider using Azure, Python, Data Factory, Vscode, Neural Networks, NLP, Regex, NER and Git.
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  -has great experience using NLP and ML to analyse call centre interactions / calls from customers, using models like Whisper and building pipelines.
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  actually built a tool to analyse call center conversation, detecting topics vs sentiment, speed of speech etc
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+ -in my most recent is experience/latest role / latest assignment, I am doing a project for Sky TV Network, I build algorithms for fraud detection. That contract expires early august.
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  -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
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  Madrid Open Tennis. I also built this chatbot of course!
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