Presentation
- Data Engineering and Data Visualization
- Machine learning, deep learning, computer vision, natural language processing (sentiment analysis, attitude modeling...)
- Extract data from the web, extract data
- Build powerful web applications to provide insights to decision-makers.
- Big Data Technologies
Basic techniques:
- Python and useful libraries: Sklearn, TensorFlow/Keras, Pandas, Matplotlib, seaborn...
- Data mining libraries: Scrapy, BeutifulSoup, Selenium, Requests...
- Web applications: Flask, Dash, FastAPI, HTML/CSS/Bootstrap
- Apache airflow, Hadoop, Elasticsearch, Kibana, Kafka ...
I look forward to discussing your project in more detail!

