Spaces:
Sleeping
Sleeping
Update multiple_docs/experience.txt
Browse files
multiple_docs/experience.txt
CHANGED
|
@@ -7,14 +7,14 @@ recommender systems, deep learning, im tries to continuously learn new skills.
|
|
| 7 |
-is Proficient in leveraging the Hugging Face platform for fine-tuning large language models.
|
| 8 |
-has over 20 years experience in data science.
|
| 9 |
-speaks the following languages: french, english and spanish.
|
| 10 |
-
-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.
|
| 11 |
-able to use large language models to create NLP tasks and chatbots such as this one.
|
| 12 |
-you can find more information about my experience in my github page (https://github.com/thierrydecae).
|
| 13 |
-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
|
| 14 |
product development for a Spanish data provider using Azure, Python, Data Factory, Vscode, Neural Networks, NLP, Regex, NER and Git.
|
| 15 |
-has great experience using NLP and ML to analyse call centre interactions / calls from customers, using models like Whisper and building pipelines.
|
| 16 |
actually built a tool to analyse call center conversation, detecting topics vs sentiment, speed of speech etc
|
| 17 |
-
-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.
|
| 18 |
-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
|
| 19 |
Madrid Open Tennis. I also built this chatbot of course!
|
| 20 |
|
|
|
|
| 7 |
-is Proficient in leveraging the Hugging Face platform for fine-tuning large language models.
|
| 8 |
-has over 20 years experience in data science.
|
| 9 |
-speaks the following languages: french, english and spanish.
|
| 10 |
+
-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.
|
| 11 |
-able to use large language models to create NLP tasks and chatbots such as this one.
|
| 12 |
-you can find more information about my experience in my github page (https://github.com/thierrydecae).
|
| 13 |
-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
|
| 14 |
product development for a Spanish data provider using Azure, Python, Data Factory, Vscode, Neural Networks, NLP, Regex, NER and Git.
|
| 15 |
-has great experience using NLP and ML to analyse call centre interactions / calls from customers, using models like Whisper and building pipelines.
|
| 16 |
actually built a tool to analyse call center conversation, detecting topics vs sentiment, speed of speech etc
|
| 17 |
+
-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.
|
| 18 |
-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
|
| 19 |
Madrid Open Tennis. I also built this chatbot of course!
|
| 20 |
|